├── .gitignore ├── CHANGELOG.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── package.json ├── pnpm-lock.yaml ├── src ├── index.ts ├── model-cache.ts ├── openrouter-api.ts ├── tool-handlers.ts ├── tool-handlers │ ├── chat-completion.ts │ ├── get-model-info.ts │ ├── search-models.ts │ └── validate-model.ts └── types.ts └── tsconfig.json /.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | /ref/ 4 | /docs/ 5 | /project.txt 6 | .cline* 7 | 8 | # dependencies 9 | /node_modules 10 | /.pnp 11 | .pnp.* 12 | .yarn/* 13 | !.yarn/patches 14 | !.yarn/plugins 15 | !.yarn/releases 16 | !.yarn/versions 17 | 18 | # testing 19 | /coverage 20 | 21 | # docs 22 | project.* 23 | 24 | # production 25 | /build 26 | /dist 27 | 28 | # misc 29 | .DS_Store 30 | *.pem 31 | 32 | # debug 33 | npm-debug.log* 34 | yarn-debug.log* 35 | yarn-error.log* 36 | 37 | # env files (can opt-in for committing if needed) 38 | .env 39 | 40 | # typescript 41 | *.tsbuildinfo 42 | -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | All notable changes to this project will be documented in this file. 3 | 4 | The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), 5 | and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). 6 | 7 | ## [2.2.0] - 2025-03-27 8 | ### Added 9 | - Unified ToolResult response format for all tool handlers 10 | - Structured error messages with "Error: " prefix consistency 11 | - Comprehensive error handling documentation in README 12 | 13 | ### Changed 14 | - Updated all tool handlers to use new response format 15 | - Improved error messages with contextual information 16 | - Refactored core error handling infrastructure 17 | 18 | ### Fixed 19 | - Removed residual JSON-RPC error code references 20 | - Standardized success/error response structures 21 | 22 | 23 | ## [2.1.0] - 2025-02-10 24 | ### Added 25 | - Conversation context support 26 | - MCP server badge 27 | ### Refactor 28 | - Modular structure 29 | ### Chore 30 | - Bump version to 2.1.0 31 | - Update dependencies and TypeScript config 32 | - Update .gitignore remove project specific files 33 | ### Documentation 34 | - Improve README with comprehensive documentation and badges 35 | 36 | ## [2.0.3] - 2024-03-22 37 | ### Changed 38 | - Updated dependencies to latest versions: 39 | - axios to ^1.7.9 40 | - openai to ^4.77.0 41 | - typescript to ^5.7.2 42 | - Updated .gitignore file list 43 | - Fixed package.json bin configuration format 44 | ### Added 45 | - Package overrides to fix punycode deprecation warning: 46 | - Added uri-js-replace to replace deprecated uri-js 47 | - Updated whatwg-url to v14.1.0 48 | ### Fixed 49 | - Updated repository URLs to correct GitHub repository 50 | - Fixed Node.js punycode deprecation warning (DEP0040) 51 | 52 | ## [2.0.2] - 2024-03-21 53 | ### Changed 54 | - Simplified binary name to 'openrouterai' 55 | 56 | ## [2.0.1] - 2024-03-21 57 | ### Added 58 | - Complete npm package configuration 59 | - Binary support for CLI installation 60 | - Repository and documentation links 61 | - Node.js engine requirement specification 62 | - PrepublishOnly script for build safety 63 | 64 | ## [2.0.0] - 2024-03-20 65 | ### Breaking Changes 66 | - Remove list_models tool in favor of enhanced search_models 67 | - Remove set_default_model and clear_default_model in favor of config-based default model 68 | - Move default model to MCP configuration via OPENROUTER_DEFAULT_MODEL environment variable 69 | 70 | ### Added 71 | - Comprehensive model filtering capabilities 72 | - Direct OpenRouter /models endpoint integration 73 | - Accurate model data (pricing, context length, capabilities) 74 | - Rate limiting with exponential backoff 75 | - Model capability validation 76 | - Cache invalidation strategy 77 | - Enhanced error handling with detailed feedback 78 | 79 | ### Changed 80 | - Rename StateManager to ModelCache for better clarity 81 | - Update error messages to reference MCP configuration 82 | - Switch from OpenAI SDK models.list() to direct OpenRouter API calls 83 | - Update package name to @mcpservers/openrouterai 84 | - Update documentation to follow MCP server standards 85 | 86 | ## [1.0.0] - 2024-03-15 87 | ### Added 88 | - Initial OpenRouter MCP server implementation 89 | - Basic model management features and state handling 90 | - Core API integration 91 | - Project documentation and configuration files 92 | 93 | ### Changed 94 | - Update license to Apache 2.0 95 | 96 | [2.2.0]: https://github.com/mcpservers/openrouterai/compare/v2.1.0...v2.2.0 97 | [2.0.2]: https://github.com/mcpservers/openrouterai/compare/v2.0.1...v2.0.2 98 | [2.0.1]: https://github.com/mcpservers/openrouterai/compare/v2.0.0...v2.0.1 99 | [2.0.0]: https://github.com/mcpservers/openrouterai/compare/v1.0.0...v2.0.0 100 | [1.0.0]: https://github.com/mcpservers/openrouterai/releases/tag/v1.0.0 101 | -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- 1 | # Contributing to OpenRouter MCP Server 2 | 3 | ## Development Setup 4 | 5 | 1. Clone the repository: 6 | ```bash 7 | git clone https://github.com/heltonteixeira/openrouterai.git 8 | cd openrouterai 9 | ``` 10 | 11 | 2. Install dependencies: 12 | ```bash 13 | npm install 14 | ``` 15 | 16 | 3. Build the project: 17 | ```bash 18 | npm run build 19 | ``` 20 | 21 | ## Features 22 | 23 | - Chat completion support for all OpenRouter.ai models 24 | - Advanced model search and filtering: 25 | - Search by name, description, or provider 26 | - Filter by context length range 27 | - Filter by maximum price per token 28 | - Filter by model capabilities 29 | - Configurable result limits 30 | - Robust API handling: 31 | - Rate limiting with automatic retry 32 | - Exponential backoff for failed requests 33 | - Request caching with automatic expiration 34 | - Performance optimizations: 35 | - Model information caching (1-hour expiry) 36 | - Efficient model capability tracking 37 | - Error handling and reporting: 38 | - Detailed error messages with applied filters 39 | - Rate limit handling 40 | - API error recovery 41 | 42 | ## Model Information 43 | 44 | The server provides comprehensive model information: 45 | 46 | - **Pricing Data**: Accurate cost per token for both prompt and completion 47 | - **Context Length**: Model-specific maximum context window 48 | - **Capabilities**: Support for: 49 | - Function calling 50 | - Tool use 51 | - Vision/image processing 52 | - JSON mode 53 | - **Provider Details**: Maximum completion tokens and context lengths 54 | 55 | ## Rate Limiting 56 | 57 | The server implements intelligent rate limit handling: 58 | 59 | - Tracks remaining requests through response headers 60 | - Automatically waits when rate limits are reached 61 | - Implements exponential backoff for failed requests 62 | - Provides clear error messages for rate limit issues 63 | 64 | ## Caching 65 | 66 | Model information is cached for optimal performance: 67 | 68 | - 1-hour cache duration for model data 69 | - Automatic cache invalidation 70 | - Memory-efficient storage 71 | 72 | ## Error Handling 73 | 74 | Robust error handling for all operations: 75 | 76 | - Detailed error responses with applied filters 77 | - Rate limit detection and recovery 78 | - API error reporting with details 79 | - Model validation failures 80 | - Cache-related issues 81 | - Network timeouts and retries 82 | 83 | ## Tool Implementation Examples 84 | 85 | ### chat_completion 86 | ```typescript 87 | const response = await mcpClient.useTool("openrouterai", "chat_completion", { 88 | model: "anthropic/claude-3-opus-20240229", // Optional if default model is set in config 89 | messages: [ 90 | { role: "user", content: "Hello!" } 91 | ], 92 | temperature: 0.7 93 | }); 94 | ``` 95 | 96 | ### search_models 97 | ```typescript 98 | const models = await mcpClient.useTool("openrouterai", "search_models", { 99 | query: "claude", // Optional: Search in name/description 100 | provider: "anthropic", // Optional: Filter by provider 101 | minContextLength: 10000, // Optional: Minimum context length 102 | maxContextLength: 100000, // Optional: Maximum context length 103 | maxPromptPrice: 0.01, // Optional: Max price per 1K tokens for prompts 104 | maxCompletionPrice: 0.02, // Optional: Max price per 1K tokens for completions 105 | capabilities: { // Optional: Required capabilities 106 | functions: true, 107 | tools: true, 108 | vision: false, 109 | json_mode: true 110 | }, 111 | limit: 10 // Optional: Maximum results (default: 10, max: 50) 112 | }); 113 | ``` 114 | 115 | ### get_model_info 116 | ```typescript 117 | const info = await mcpClient.useTool("openrouterai", "get_model_info", { 118 | model: "anthropic/claude-3-opus-20240229" 119 | }); 120 | ``` 121 | 122 | ### validate_model 123 | ```typescript 124 | const validation = await mcpClient.useTool("openrouterai", "validate_model", { 125 | model: "anthropic/claude-3-opus-20240229" 126 | }); 127 | ``` 128 | 129 | ## License 130 | 131 | Apache License 2.0 - see LICENSE file for details. 132 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright 2024 Cline Bot Inc. 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # OpenRouter MCP Server 2 | 3 | [![MCP Server](https://img.shields.io/badge/MCP-Server-green)](https://github.com/heltonteixeira/openrouterai) 4 | [![Version](https://img.shields.io/badge/version-2.2.0-blue)](CHANGELOG.md) 5 | [![TypeScript](https://img.shields.io/badge/language-TypeScript-blue)](https://www.typescriptlang.org/) 6 | [![License](https://img.shields.io/badge/license-Apache%202.0-brightgreen)](LICENSE) 7 | 8 | A Model Context Protocol (MCP) server providing seamless integration with OpenRouter.ai's diverse model ecosystem. Access various AI models through a unified, type-safe interface with built-in caching, rate limiting, and error handling. 9 | 10 | OpenRouter Server MCP server 11 | 12 | ## Features 13 | 14 | - **Model Access** 15 | - Direct access to all OpenRouter.ai models 16 | - Automatic model validation and capability checking 17 | - Default model configuration support 18 | 19 | - **Performance Optimization** 20 | - Smart model information caching (1-hour expiry) 21 | - Automatic rate limit management 22 | - Exponential backoff for failed requests 23 | 24 | - **Unified Response Format** 25 | - Consistent `ToolResult` structure for all responses 26 | - Clear error identification with `isError` flag 27 | - Structured error messages with context 28 | ## Installation 29 | 30 | ```bash 31 | pnpm install @mcpservers/openrouterai 32 | ``` 33 | 34 | ## Configuration 35 | 36 | ### Prerequisites 37 | 38 | 1. Get your OpenRouter API key from [OpenRouter Keys](https://openrouter.ai/keys) 39 | 2. Choose a default model (optional) 40 | 41 | ### Environment Variables 42 | ```env 43 | OPENROUTER_API_KEY=your-api-key-here 44 | OPENROUTER_DEFAULT_MODEL=optional-default-model 45 | ``` 46 | 47 | ### Setup 48 | 49 | Add to your MCP settings configuration file (`cline_mcp_settings.json` or `claude_desktop_config.json`): 50 | 51 | ```json 52 | { 53 | "mcpServers": { 54 | "openrouterai": { 55 | "command": "npx", 56 | "args": ["@mcpservers/openrouterai"], 57 | "env": { 58 | "OPENROUTER_API_KEY": "your-api-key-here", 59 | "OPENROUTER_DEFAULT_MODEL": "optional-default-model" 60 | } 61 | } 62 | } 63 | } 64 | ``` 65 | 66 | ## Response Format 67 | 68 | All tools return responses in a standardized structure: 69 | 70 | ```typescript 71 | interface ToolResult { 72 | isError: boolean; 73 | content: Array<{ 74 | type: "text"; 75 | text: string; // JSON string or error message 76 | }>; 77 | } 78 | ``` 79 | 80 | **Success Example:** 81 | ```json 82 | { 83 | "isError": false, 84 | "content": [{ 85 | "type": "text", 86 | "text": "{\"id\": \"gen-123\", ...}" 87 | }] 88 | } 89 | ``` 90 | 91 | **Error Example:** 92 | ```json 93 | { 94 | "isError": true, 95 | "content": [{ 96 | "type": "text", 97 | "text": "Error: Model validation failed - 'invalid-model' not found" 98 | }] 99 | } 100 | ``` 101 | 102 | ## Available Tools 103 | 104 | ### chat_completion 105 | 106 | Send messages to OpenRouter.ai models: 107 | 108 | ```typescript 109 | interface ChatCompletionRequest { 110 | model?: string; 111 | messages: Array<{role: "user"|"system"|"assistant", content: string}>; 112 | temperature?: number; // 0-2 113 | } 114 | 115 | // Response: ToolResult with chat completion data or error 116 | ``` 117 | 118 | ### search_models 119 | 120 | Search and filter available models: 121 | 122 | ```typescript 123 | interface ModelSearchRequest { 124 | query?: string; 125 | provider?: string; 126 | minContextLength?: number; 127 | capabilities?: { 128 | functions?: boolean; 129 | vision?: boolean; 130 | }; 131 | } 132 | 133 | // Response: ToolResult with model list or error 134 | ``` 135 | 136 | ### get_model_info 137 | 138 | Get detailed information about a specific model: 139 | 140 | ```typescript 141 | { 142 | model: string; // Model identifier 143 | } 144 | ``` 145 | 146 | ### validate_model 147 | 148 | Check if a model ID is valid: 149 | 150 | ```typescript 151 | interface ModelValidationRequest { 152 | model: string; 153 | } 154 | 155 | // Response: 156 | // Success: { isError: false, valid: true } 157 | // Error: { isError: true, error: "Model not found" } 158 | ``` 159 | 160 | ## Error Handling 161 | 162 | The server provides structured errors with contextual information: 163 | 164 | ```typescript 165 | // Error response structure 166 | { 167 | isError: true, 168 | content: [{ 169 | type: "text", 170 | text: "Error: [Category] - Detailed message" 171 | }] 172 | } 173 | ``` 174 | 175 | **Common Error Categories:** 176 | - `Validation Error`: Invalid input parameters 177 | - `API Error`: OpenRouter API communication issues 178 | - `Rate Limit`: Request throttling detection 179 | - `Internal Error`: Server-side processing failures 180 | 181 | **Handling Responses:** 182 | ```typescript 183 | async function handleResponse(result: ToolResult) { 184 | if (result.isError) { 185 | const errorMessage = result.content[0].text; 186 | if (errorMessage.startsWith('Error: Rate Limit')) { 187 | // Handle rate limiting 188 | } 189 | // Other error handling 190 | } else { 191 | const data = JSON.parse(result.content[0].text); 192 | // Process successful response 193 | } 194 | } 195 | ``` 196 | 197 | ## Development 198 | 199 | See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed information about: 200 | - Development setup 201 | - Project structure 202 | - Feature implementation 203 | - Error handling guidelines 204 | - Tool usage examples 205 | 206 | ```bash 207 | # Install dependencies 208 | pnpm install 209 | 210 | # Build project 211 | pnpm run build 212 | 213 | # Run tests 214 | pnpm test 215 | ``` 216 | 217 | ## Changelog 218 | See [CHANGELOG.md](./CHANGELOG.md) for recent updates including: 219 | - Unified response format implementation 220 | - Enhanced error handling system 221 | - Type-safe interface improvements 222 | 223 | ## License 224 | 225 | This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details. -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "@mcpservers/openrouterai", 3 | "version": "2.2.0", 4 | "type": "module", 5 | "main": "dist/index.js", 6 | "bin": { 7 | "openrouterai": "dist/index.js" 8 | }, 9 | "files": [ 10 | "dist", 11 | "README.md", 12 | "LICENSE" 13 | ], 14 | "scripts": { 15 | "build": "tsc && shx chmod +x dist/*.js", 16 | "prepare": "npm run build", 17 | "watch": "tsc --watch" 18 | }, 19 | "keywords": [ 20 | "mcp", 21 | "openrouter", 22 | "ai", 23 | "llm", 24 | "modelcontextprotocol" 25 | ], 26 | "author": "bossying", 27 | "license": "Apache-2.0", 28 | "description": "MCP server for OpenRouter.ai integration", 29 | "repository": { 30 | "type": "git", 31 | "url": "git+https://github.com/heltonteixeira/openrouterai.git" 32 | }, 33 | "bugs": { 34 | "url": "https://github.com/heltonteixeira/openrouterai/issues" 35 | }, 36 | "homepage": "https://github.com/heltonteixeira/openrouterai#readme", 37 | "engines": { 38 | "node": ">=18.0.0" 39 | }, 40 | "dependencies": { 41 | "@modelcontextprotocol/sdk": "1.4.1", 42 | "axios": "^1.7.9", 43 | "openai": "^4.83.0", 44 | "typescript": "^5.7.3" 45 | }, 46 | "devDependencies": { 47 | "@types/node": "^22.13.1", 48 | "shx": "^0.3.4" 49 | }, 50 | "overrides": { 51 | "uri-js": "npm:uri-js-replace", 52 | "whatwg-url": "^14.1.0" 53 | } 54 | } 55 | -------------------------------------------------------------------------------- /pnpm-lock.yaml: 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whatwg-url@5.0.0: 627 | dependencies: 628 | tr46: 0.0.3 629 | webidl-conversions: 3.0.1 630 | 631 | wrappy@1.0.2: {} 632 | 633 | zod-to-json-schema@3.24.5(zod@3.24.2): 634 | dependencies: 635 | zod: 3.24.2 636 | 637 | zod@3.24.2: {} 638 | -------------------------------------------------------------------------------- /src/index.ts: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env node 2 | import { Server } from '@modelcontextprotocol/sdk/server/index.js'; 3 | import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; 4 | 5 | import { ToolHandlers } from './tool-handlers.js'; 6 | 7 | const OPENROUTER_API_KEY = process.env.OPENROUTER_API_KEY; 8 | const DEFAULT_MODEL = process.env.OPENROUTER_DEFAULT_MODEL; 9 | 10 | if (!OPENROUTER_API_KEY) { 11 | throw new Error('OPENROUTER_API_KEY environment variable is required'); 12 | } 13 | 14 | class OpenRouterServer { 15 | private server: Server; 16 | private toolHandlers: ToolHandlers; 17 | 18 | constructor() { 19 | this.server = new Server( 20 | { 21 | name: 'openrouter-server', 22 | version: '2.2.0', 23 | }, 24 | { 25 | capabilities: { 26 | tools: {}, 27 | }, 28 | } 29 | ); 30 | 31 | // Initialize tool handlers 32 | this.toolHandlers = new ToolHandlers( 33 | this.server, 34 | OPENROUTER_API_KEY!, 35 | DEFAULT_MODEL 36 | ); 37 | 38 | // Error handling 39 | this.server.onerror = (error) => console.error('[MCP Error]', error); 40 | process.on('SIGINT', async () => { 41 | await this.server.close(); 42 | process.exit(0); 43 | }); 44 | } 45 | 46 | async run() { 47 | const transport = new StdioServerTransport(); 48 | await this.server.connect(transport); 49 | console.error('OpenRouter MCP server running on stdio'); 50 | } 51 | } 52 | 53 | const server = new OpenRouterServer(); 54 | server.run().catch(console.error); 55 | -------------------------------------------------------------------------------- /src/model-cache.ts: -------------------------------------------------------------------------------- 1 | export interface OpenRouterModel { 2 | id: string; 3 | name: string; 4 | description?: string; 5 | context_length: number; 6 | pricing: { 7 | prompt: string; 8 | completion: string; 9 | unit: number; 10 | }; 11 | top_provider?: { 12 | max_completion_tokens?: number; 13 | max_context_length?: number; 14 | }; 15 | capabilities?: { 16 | functions?: boolean; 17 | tools?: boolean; 18 | vision?: boolean; 19 | json_mode?: boolean; 20 | }; 21 | } 22 | 23 | export interface OpenRouterModelResponse { 24 | data: OpenRouterModel[]; 25 | timestamp?: number; 26 | } 27 | 28 | export interface CachedModelResponse extends OpenRouterModelResponse { 29 | timestamp: number; 30 | } 31 | 32 | // Simple in-memory state management 33 | export class ModelCache { 34 | private static instance: ModelCache; 35 | private cachedModels: CachedModelResponse | null = null; 36 | private readonly cacheExpiry = 3600000; // 1 hour in milliseconds 37 | 38 | private constructor() {} 39 | 40 | static getInstance(): ModelCache { 41 | if (!ModelCache.instance) { 42 | ModelCache.instance = new ModelCache(); 43 | } 44 | return ModelCache.instance; 45 | } 46 | 47 | private validateCache(): boolean { 48 | if (!this.cachedModels) return false; 49 | return Date.now() - this.cachedModels.timestamp <= this.cacheExpiry; 50 | } 51 | 52 | setCachedModels(models: OpenRouterModelResponse & { timestamp: number }) { 53 | this.cachedModels = models as CachedModelResponse; 54 | } 55 | 56 | getCachedModels(): CachedModelResponse | null { 57 | return this.validateCache() ? this.cachedModels : null; 58 | } 59 | 60 | clearCache() { 61 | this.cachedModels = null; 62 | } 63 | 64 | async validateModel(model: string): Promise { 65 | const models = this.getCachedModels(); 66 | if (!models) return false; 67 | return models.data.some(m => m.id === model); 68 | } 69 | 70 | async getModelInfo(model: string): Promise { 71 | const models = this.getCachedModels(); 72 | if (!models) return undefined; 73 | return models.data.find(m => m.id === model); 74 | } 75 | } -------------------------------------------------------------------------------- /src/openrouter-api.ts: -------------------------------------------------------------------------------- 1 | import axios, { AxiosError, AxiosInstance } from 'axios'; 2 | import { setTimeout } from 'timers/promises'; 3 | import { OpenRouterModelResponse } from './model-cache.js'; 4 | 5 | export interface RateLimitState { 6 | remaining: number; 7 | reset: number; 8 | total: number; 9 | } 10 | 11 | export const RETRY_DELAYS = [1000, 2000, 4000]; // Exponential backoff delays in ms 12 | 13 | export class OpenRouterAPIClient { 14 | private axiosInstance: AxiosInstance; 15 | private rateLimit: RateLimitState = { 16 | remaining: 50, // Default conservative value 17 | reset: Date.now() + 60000, 18 | total: 50 19 | }; 20 | 21 | constructor(apiKey: string) { 22 | // Initialize axios instance for OpenRouter API 23 | this.axiosInstance = axios.create({ 24 | baseURL: 'https://openrouter.ai/api/v1', 25 | headers: { 26 | 'Authorization': `Bearer ${apiKey}`, 27 | 'HTTP-Referer': 'https://github.com/heltonteixeira/openrouterai', 28 | 'X-Title': 'MCP OpenRouter Server' 29 | } 30 | }); 31 | 32 | // Add response interceptor for rate limit headers 33 | this.axiosInstance.interceptors.response.use( 34 | (response: any) => { 35 | const remaining = parseInt(response.headers['x-ratelimit-remaining'] || '50'); 36 | const reset = parseInt(response.headers['x-ratelimit-reset'] || '60'); 37 | const total = parseInt(response.headers['x-ratelimit-limit'] || '50'); 38 | 39 | this.rateLimit = { 40 | remaining, 41 | reset: Date.now() + (reset * 1000), 42 | total 43 | }; 44 | 45 | return response; 46 | }, 47 | async (error: AxiosError) => { 48 | if (error.response?.status === 429) { 49 | console.error('Rate limit exceeded, waiting for reset...'); 50 | const resetAfter = parseInt(error.response.headers['retry-after'] || '60'); 51 | await setTimeout(resetAfter * 1000); 52 | return this.axiosInstance.request(error.config!); 53 | } 54 | throw error; 55 | } 56 | ); 57 | } 58 | 59 | async fetchModels(): Promise { 60 | // Check rate limits before making request 61 | if (this.rateLimit.remaining <= 0 && Date.now() < this.rateLimit.reset) { 62 | const waitTime = this.rateLimit.reset - Date.now(); 63 | await setTimeout(waitTime); 64 | } 65 | 66 | // Retry mechanism for fetching models 67 | for (let i = 0; i <= RETRY_DELAYS.length; i++) { 68 | try { 69 | const response = await this.axiosInstance.get('/models'); 70 | return { 71 | data: response.data.data, 72 | timestamp: Date.now() 73 | }; 74 | } catch (error) { 75 | if (i === RETRY_DELAYS.length) throw error; 76 | await setTimeout(RETRY_DELAYS[i]); 77 | } 78 | } 79 | 80 | throw new Error('Failed to fetch models after multiple attempts'); 81 | } 82 | 83 | async chatCompletion(params: { 84 | model: string, 85 | messages: any[], 86 | temperature?: number 87 | }) { 88 | return this.axiosInstance.post('/chat/completions', { 89 | model: params.model, 90 | messages: params.messages, 91 | temperature: params.temperature ?? 1 92 | }); 93 | } 94 | 95 | getRateLimit(): RateLimitState { 96 | return { ...this.rateLimit }; 97 | } 98 | } -------------------------------------------------------------------------------- /src/tool-handlers.ts: -------------------------------------------------------------------------------- 1 | import { Server } from '@modelcontextprotocol/sdk/server/index.js'; 2 | import { 3 | CallToolRequestSchema, 4 | ErrorCode, 5 | ListToolsRequestSchema, 6 | McpError, 7 | } from '@modelcontextprotocol/sdk/types.js'; 8 | import OpenAI from 'openai'; 9 | 10 | import { ModelCache } from './model-cache.js'; 11 | import { OpenRouterAPIClient } from './openrouter-api.js'; 12 | import { ToolResult } from './types.js'; // Import the unified type 13 | import { handleChatCompletion, ChatCompletionToolRequest } from './tool-handlers/chat-completion.js'; 14 | import { handleSearchModels, SearchModelsToolRequest } from './tool-handlers/search-models.js'; 15 | import { handleGetModelInfo, GetModelInfoToolRequest } from './tool-handlers/get-model-info.js'; 16 | import { handleValidateModel, ValidateModelToolRequest } from './tool-handlers/validate-model.js'; 17 | 18 | export class ToolHandlers { 19 | private server: Server; 20 | private openai: OpenAI; 21 | private modelCache: ModelCache; 22 | private apiClient: OpenRouterAPIClient; 23 | private defaultModel?: string; 24 | 25 | constructor( 26 | server: Server, 27 | apiKey: string, 28 | defaultModel?: string 29 | ) { 30 | this.server = server; 31 | this.modelCache = ModelCache.getInstance(); 32 | this.apiClient = new OpenRouterAPIClient(apiKey); 33 | this.defaultModel = defaultModel; 34 | 35 | this.openai = new OpenAI({ 36 | apiKey: apiKey, 37 | baseURL: 'https://openrouter.ai/api/v1', 38 | defaultHeaders: { 39 | 'HTTP-Referer': 'https://github.com/heltonteixeira/openrouterai', 40 | 'X-Title': 'MCP OpenRouter Server', 41 | }, 42 | }); 43 | 44 | this.setupToolHandlers(); 45 | } 46 | 47 | private setupToolHandlers() { 48 | this.server.setRequestHandler(ListToolsRequestSchema, async () => ({ 49 | tools: [ 50 | { 51 | name: 'chat_completion', 52 | description: 'Send a message to OpenRouter.ai and get a response', 53 | inputSchema: { 54 | type: 'object', 55 | properties: { 56 | model: { 57 | type: 'string', 58 | description: 'The model to use (e.g., "google/gemini-2.0-flash-thinking-exp:free", "undi95/toppy-m-7b:free"). If not provided, uses the default model if set.', 59 | }, 60 | messages: { 61 | type: 'array', 62 | description: 'An array of conversation messages with roles and content', 63 | minItems: 1, 64 | maxItems: 100, 65 | items: { 66 | type: 'object', 67 | properties: { 68 | role: { 69 | type: 'string', 70 | enum: ['system', 'user', 'assistant'], 71 | description: 'The role of the message sender', 72 | }, 73 | content: { 74 | type: 'string', 75 | description: 'The content of the message', 76 | }, 77 | }, 78 | required: ['role', 'content'], 79 | } }, 80 | temperature: { 81 | type: 'number', 82 | description: 'Sampling temperature (0-2)', 83 | minimum: 0, 84 | maximum: 2, 85 | }, 86 | }, 87 | required: ['messages'], 88 | }, 89 | // Context window management details can be added as a separate property 90 | maxContextTokens: 200000 91 | }, 92 | { 93 | name: 'search_models', 94 | description: 'Search and filter OpenRouter.ai models based on various criteria', 95 | inputSchema: { 96 | type: 'object', 97 | properties: { 98 | query: { 99 | type: 'string', 100 | description: 'Optional search query to filter by name, description, or provider', 101 | }, 102 | provider: { 103 | type: 'string', 104 | description: 'Filter by specific provider (e.g., "anthropic", "openai", "cohere")', 105 | }, 106 | minContextLength: { 107 | type: 'number', 108 | description: 'Minimum context length in tokens', 109 | }, 110 | maxContextLength: { 111 | type: 'number', 112 | description: 'Maximum context length in tokens', 113 | }, 114 | maxPromptPrice: { 115 | type: 'number', 116 | description: 'Maximum price per 1K tokens for prompts', 117 | }, 118 | maxCompletionPrice: { 119 | type: 'number', 120 | description: 'Maximum price per 1K tokens for completions', 121 | }, 122 | capabilities: { 123 | type: 'object', 124 | description: 'Filter by model capabilities', 125 | properties: { 126 | functions: { 127 | type: 'boolean', 128 | description: 'Requires function calling capability', 129 | }, 130 | tools: { 131 | type: 'boolean', 132 | description: 'Requires tools capability', 133 | }, 134 | vision: { 135 | type: 'boolean', 136 | description: 'Requires vision capability', 137 | }, 138 | json_mode: { 139 | type: 'boolean', 140 | description: 'Requires JSON mode capability', 141 | } 142 | } 143 | }, 144 | limit: { 145 | type: 'number', 146 | description: 'Maximum number of results to return (default: 10)', 147 | minimum: 1, 148 | maximum: 50 149 | } 150 | } 151 | }, 152 | }, 153 | { 154 | name: 'get_model_info', 155 | description: 'Get detailed information about a specific model', 156 | inputSchema: { 157 | type: 'object', 158 | properties: { 159 | model: { 160 | type: 'string', 161 | description: 'The model ID to get information for', 162 | }, 163 | }, 164 | required: ['model'], 165 | }, 166 | }, 167 | { 168 | name: 'validate_model', 169 | description: 'Check if a model ID is valid', 170 | inputSchema: { 171 | type: 'object', 172 | properties: { 173 | model: { 174 | type: 'string', 175 | description: 'The model ID to validate', 176 | }, 177 | }, 178 | required: ['model'], 179 | }, 180 | }, 181 | ], 182 | })); 183 | 184 | // Remove explicit return type annotation 185 | this.server.setRequestHandler(CallToolRequestSchema, async (request) => { 186 | // Wrap the entire handler logic in a try...catch 187 | try { 188 | switch (request.params.name) { 189 | case 'chat_completion': 190 | // Add 'as any' to satisfy SDK type checker 191 | return handleChatCompletion({ 192 | params: { 193 | arguments: request.params.arguments as unknown as ChatCompletionToolRequest 194 | } 195 | }, this.openai, this.defaultModel) as any; 196 | 197 | case 'search_models': 198 | // Add 'as any' to satisfy SDK type checker 199 | return handleSearchModels({ 200 | params: { 201 | arguments: request.params.arguments as SearchModelsToolRequest 202 | } 203 | }, this.apiClient, this.modelCache) as any; 204 | 205 | case 'get_model_info': 206 | // Add 'as any' to satisfy SDK type checker 207 | return handleGetModelInfo({ 208 | params: { 209 | arguments: request.params.arguments as unknown as GetModelInfoToolRequest 210 | } 211 | }, this.modelCache) as any; 212 | 213 | case 'validate_model': 214 | // Add 'as any' to satisfy SDK type checker 215 | return handleValidateModel({ 216 | params: { 217 | arguments: request.params.arguments as unknown as ValidateModelToolRequest 218 | } 219 | }, this.modelCache) as any; 220 | 221 | default: 222 | // Return ToolResult for unknown tool 223 | console.warn(`Unknown tool requested: ${request.params.name}`); 224 | return { 225 | isError: true, 226 | content: [{ type: 'text', text: `Error: Tool '${request.params.name}' not found.` }], 227 | } as any; // Add 'as any' 228 | } 229 | } catch (error) { 230 | // Catch unexpected errors within the handler itself 231 | console.error('Unexpected error in CallToolRequest handler:', error); 232 | return { 233 | isError: true, 234 | content: [{ type: 'text', text: 'Error: Internal server error occurred while processing the tool call.' }], 235 | } as any; // Add 'as any' 236 | } 237 | }); 238 | } 239 | } -------------------------------------------------------------------------------- /src/tool-handlers/chat-completion.ts: -------------------------------------------------------------------------------- 1 | import OpenAI from 'openai'; 2 | import { ChatCompletionMessageParam } from 'openai/resources/chat/completions.js'; 3 | import { ToolResult } from '../types.js'; // Import the unified type 4 | 5 | // Maximum context tokens (matches tool-handlers.ts) 6 | const MAX_CONTEXT_TOKENS = 200000; 7 | 8 | export interface ChatCompletionToolRequest { 9 | model?: string; 10 | messages: ChatCompletionMessageParam[]; 11 | temperature?: number; 12 | } 13 | 14 | // Utility function to estimate token count (simplified) 15 | function estimateTokenCount(text: string): number { 16 | // Rough approximation: 4 characters per token 17 | return Math.ceil(text.length / 4); 18 | } 19 | 20 | // Truncate messages to fit within the context window 21 | function truncateMessagesToFit( 22 | messages: ChatCompletionMessageParam[], 23 | maxTokens: number 24 | ): ChatCompletionMessageParam[] { 25 | const truncated: ChatCompletionMessageParam[] = []; 26 | let currentTokenCount = 0; 27 | 28 | // Always include system message first if present 29 | if (messages[0]?.role === 'system') { 30 | truncated.push(messages[0]); 31 | currentTokenCount += estimateTokenCount(messages[0].content as string); 32 | } 33 | 34 | // Add messages from the end, respecting the token limit 35 | for (let i = messages.length - 1; i >= 0; i--) { 36 | // Skip system message if already added 37 | if (i === 0 && messages[0]?.role === 'system') continue; 38 | 39 | const messageContent = messages[i].content; 40 | // Handle potential null/undefined content safely 41 | const contentString = typeof messageContent === 'string' ? messageContent : ''; 42 | const messageTokens = estimateTokenCount(contentString); 43 | 44 | if (currentTokenCount + messageTokens > maxTokens) break; 45 | 46 | truncated.unshift(messages[i]); 47 | currentTokenCount += messageTokens; 48 | } 49 | 50 | return truncated; 51 | } 52 | 53 | // Update function signature to return Promise 54 | export async function handleChatCompletion( 55 | request: { params: { arguments: ChatCompletionToolRequest } }, 56 | openai: OpenAI, 57 | defaultModel?: string 58 | ): Promise { 59 | const args = request.params.arguments; 60 | 61 | // Validate model selection 62 | const model = args.model || defaultModel; 63 | if (!model) { 64 | return { 65 | isError: true, // Ensure isError is present 66 | content: [ 67 | { 68 | type: 'text', 69 | // Add "Error: " prefix 70 | text: 'Error: No model specified and no default model configured in MCP settings. Please specify a model or set OPENROUTER_DEFAULT_MODEL in the MCP configuration.', 71 | }, 72 | ], 73 | }; 74 | } 75 | 76 | // Validate message array 77 | if (!args.messages || args.messages.length === 0) { // Add check for undefined/null messages 78 | return { 79 | isError: true, // Ensure isError is present 80 | content: [ 81 | { 82 | type: 'text', 83 | // Add "Error: " prefix 84 | text: 'Error: Messages array cannot be empty. At least one message is required.', 85 | }, 86 | ], 87 | }; 88 | } 89 | 90 | try { 91 | // Truncate messages to fit within context window 92 | const truncatedMessages = truncateMessagesToFit(args.messages, MAX_CONTEXT_TOKENS); 93 | 94 | const completion = await openai.chat.completions.create({ 95 | model, 96 | messages: truncatedMessages, 97 | temperature: args.temperature ?? 1, 98 | }); 99 | 100 | // Format response to match OpenRouter schema 101 | const response = { 102 | id: `gen-${Date.now()}`, 103 | choices: [{ 104 | finish_reason: completion.choices[0].finish_reason, 105 | message: { 106 | role: completion.choices[0].message.role, 107 | content: completion.choices[0].message.content || '', 108 | tool_calls: completion.choices[0].message.tool_calls 109 | } 110 | }], 111 | created: Math.floor(Date.now() / 1000), 112 | model: model, 113 | object: 'chat.completion', 114 | usage: completion.usage || { 115 | prompt_tokens: 0, 116 | completion_tokens: 0, 117 | total_tokens: 0 118 | } 119 | }; 120 | 121 | // Add isError: false to successful return 122 | return { 123 | isError: false, 124 | content: [ 125 | { 126 | type: 'text', 127 | text: JSON.stringify(response, null, 2), 128 | }, 129 | ], 130 | }; 131 | } catch (error) { 132 | console.error('Error during chat completion:', error); // Log the error 133 | // Handle known and unknown errors, always return ToolResult 134 | if (error instanceof Error) { 135 | return { 136 | isError: true, 137 | content: [ 138 | { 139 | type: 'text', 140 | // Add "Error: " prefix 141 | text: `Error: OpenRouter API error: ${error.message}`, 142 | }, 143 | ], 144 | }; 145 | } else { 146 | // Handle unknown errors 147 | return { 148 | isError: true, 149 | content: [ 150 | { 151 | type: 'text', 152 | text: 'Error: An unknown error occurred during chat completion.', 153 | }, 154 | ], 155 | }; 156 | } 157 | // DO NOT throw error; 158 | } 159 | } -------------------------------------------------------------------------------- /src/tool-handlers/get-model-info.ts: -------------------------------------------------------------------------------- 1 | import { ModelCache } from '../model-cache.js'; 2 | import { ToolResult } from '../types.js'; // Import the unified type 3 | 4 | export interface GetModelInfoToolRequest { 5 | model: string; 6 | } 7 | 8 | // Update function signature to return Promise 9 | export async function handleGetModelInfo( 10 | request: { params: { arguments: GetModelInfoToolRequest } }, 11 | modelCache: ModelCache 12 | ): Promise { 13 | const { model } = request.params.arguments; 14 | 15 | // Wrap core logic in try...catch 16 | try { 17 | const modelInfo = await modelCache.getModelInfo(model); 18 | 19 | if (!modelInfo) { 20 | return { 21 | isError: true, // Ensure isError is present 22 | content: [ 23 | { 24 | type: 'text', 25 | // Add "Error: " prefix 26 | text: `Error: Model not found: ${model}`, 27 | }, 28 | ], 29 | }; 30 | } 31 | 32 | // Format successful response 33 | const response = { 34 | id: `info-${Date.now()}`, 35 | object: 'model', 36 | created: Math.floor(Date.now() / 1000), 37 | owned_by: modelInfo.id.split('/')[0], 38 | permission: [], 39 | root: modelInfo.id, 40 | parent: null, 41 | data: { 42 | id: modelInfo.id, 43 | name: modelInfo.name, 44 | description: modelInfo.description || 'No description available', 45 | context_length: modelInfo.context_length, 46 | pricing: { 47 | prompt: `$${modelInfo.pricing.prompt}/1K tokens`, 48 | completion: `$${modelInfo.pricing.completion}/1K tokens` 49 | }, 50 | capabilities: { 51 | functions: modelInfo.capabilities?.functions || false, 52 | tools: modelInfo.capabilities?.tools || false, 53 | vision: modelInfo.capabilities?.vision || false, 54 | json_mode: modelInfo.capabilities?.json_mode || false 55 | } 56 | } 57 | }; 58 | 59 | // Add isError: false to successful return 60 | return { 61 | isError: false, 62 | content: [ 63 | { 64 | type: 'text', 65 | text: JSON.stringify(response, null, 2), 66 | }, 67 | ], 68 | }; 69 | } catch (error) { 70 | // Catch errors during model info retrieval 71 | console.error(`Error getting model info for ${model}:`, error); 72 | const errorMessage = error instanceof Error ? error.message : 'An unknown error occurred'; 73 | return { 74 | isError: true, 75 | content: [ 76 | { 77 | type: 'text', 78 | text: `Error: Failed to get model info: ${errorMessage}`, 79 | }, 80 | ], 81 | }; 82 | } 83 | } -------------------------------------------------------------------------------- /src/tool-handlers/search-models.ts: -------------------------------------------------------------------------------- 1 | import { ModelCache, OpenRouterModel } from '../model-cache.js'; 2 | import { OpenRouterAPIClient } from '../openrouter-api.js'; 3 | import { ToolResult } from '../types.js'; // Import the unified type 4 | 5 | export interface SearchModelsToolRequest { 6 | query?: string; 7 | provider?: string; 8 | minContextLength?: number; 9 | maxContextLength?: number; 10 | maxPromptPrice?: number; 11 | maxCompletionPrice?: number; 12 | capabilities?: { 13 | functions?: boolean; 14 | tools?: boolean; 15 | vision?: boolean; 16 | json_mode?: boolean; 17 | }; 18 | limit?: number; 19 | } 20 | 21 | // Update function signature to return Promise 22 | export async function handleSearchModels( 23 | request: { params: { arguments: SearchModelsToolRequest } }, 24 | apiClient: OpenRouterAPIClient, 25 | modelCache: ModelCache 26 | ): Promise { 27 | const args = request.params.arguments; 28 | 29 | try { 30 | // Use cached models if available 31 | let models = modelCache.getCachedModels(); 32 | if (!models) { 33 | models = await apiClient.fetchModels(); 34 | if (models) { 35 | modelCache.setCachedModels({ ...models, timestamp: Date.now() }); 36 | } 37 | } 38 | 39 | // Simplify the "Failed to fetch models" error return 40 | if (!models) { 41 | return { 42 | isError: true, // Ensure isError is present 43 | content: [ 44 | { 45 | type: 'text', 46 | // Use simple error string 47 | text: 'Error: Failed to fetch models. Please try again.', 48 | }, 49 | ], 50 | }; 51 | } 52 | 53 | // Apply all filters 54 | const searchResults = models.data 55 | .filter(model => { 56 | // Text search 57 | if (args.query) { 58 | const searchTerm = args.query.toLowerCase(); 59 | const matchesQuery = 60 | model.id.toLowerCase().includes(searchTerm) || 61 | (model.name && model.name.toLowerCase().includes(searchTerm)) || 62 | (model.description && model.description.toLowerCase().includes(searchTerm)); 63 | if (!matchesQuery) return false; 64 | } 65 | 66 | // Provider filter 67 | if (args.provider) { 68 | const provider = model.id.split('/')[0]; 69 | if (provider !== args.provider.toLowerCase()) return false; 70 | } 71 | 72 | // Context length filters 73 | if (args.minContextLength && model.context_length < args.minContextLength) return false; 74 | if (args.maxContextLength && model.context_length > args.maxContextLength) return false; 75 | 76 | // Price filters 77 | if (args.maxPromptPrice && parseFloat(model.pricing.prompt) > args.maxPromptPrice) return false; 78 | if (args.maxCompletionPrice && parseFloat(model.pricing.completion) > args.maxCompletionPrice) return false; 79 | 80 | // Capabilities filters 81 | if (args.capabilities) { 82 | if (args.capabilities.functions && !model.capabilities?.functions) return false; 83 | if (args.capabilities.tools && !model.capabilities?.tools) return false; 84 | if (args.capabilities.vision && !model.capabilities?.vision) return false; 85 | if (args.capabilities.json_mode && !model.capabilities?.json_mode) return false; 86 | } 87 | 88 | return true; 89 | }) 90 | // Apply limit 91 | .slice(0, args.limit || 10) 92 | .map(model => ({ 93 | id: model.id, 94 | name: model.name, 95 | description: model.description || 'No description available', 96 | context_length: model.context_length, 97 | pricing: { 98 | prompt: `$${model.pricing.prompt}/1K tokens`, 99 | completion: `$${model.pricing.completion}/1K tokens` 100 | }, 101 | capabilities: { 102 | functions: model.capabilities?.functions || false, 103 | tools: model.capabilities?.tools || false, 104 | vision: model.capabilities?.vision || false, 105 | json_mode: model.capabilities?.json_mode || false 106 | } 107 | })); 108 | 109 | const response = { 110 | id: `search-${Date.now()}`, 111 | object: 'list', 112 | data: searchResults, 113 | created: Math.floor(Date.now() / 1000), 114 | metadata: { 115 | total_models: models.data.length, 116 | filtered_count: searchResults.length, 117 | applied_filters: { 118 | query: args.query, 119 | provider: args.provider, 120 | minContextLength: args.minContextLength, 121 | maxContextLength: args.maxContextLength, 122 | maxPromptPrice: args.maxPromptPrice, 123 | maxCompletionPrice: args.maxCompletionPrice, 124 | capabilities: args.capabilities, 125 | limit: args.limit 126 | } 127 | } 128 | }; 129 | 130 | // Add isError: false to successful return 131 | return { 132 | isError: false, 133 | content: [ 134 | { 135 | type: 'text', 136 | text: JSON.stringify(response, null, 2), 137 | }, 138 | ], 139 | }; 140 | } catch (error) { 141 | console.error('Error during model search:', error); // Log the error 142 | // Handle known and unknown errors, always return ToolResult 143 | if (error instanceof Error) { 144 | return { 145 | isError: true, 146 | content: [ 147 | { 148 | type: 'text', 149 | // Add "Error: " prefix 150 | text: `Error: Failed to search models: ${error.message}`, 151 | }, 152 | ], 153 | }; 154 | } else { 155 | // Handle unknown errors 156 | return { 157 | isError: true, 158 | content: [ 159 | { 160 | type: 'text', 161 | text: 'Error: An unknown error occurred during model search.', 162 | }, 163 | ], 164 | }; 165 | } 166 | // DO NOT throw error; 167 | } 168 | } -------------------------------------------------------------------------------- /src/tool-handlers/validate-model.ts: -------------------------------------------------------------------------------- 1 | import { ModelCache } from '../model-cache.js'; 2 | import { ToolResult } from '../types.js'; // Import the unified type 3 | 4 | export interface ValidateModelToolRequest { 5 | model: string; 6 | } 7 | 8 | // Update function signature to return Promise 9 | export async function handleValidateModel( 10 | request: { params: { arguments: ValidateModelToolRequest } }, 11 | modelCache: ModelCache 12 | ): Promise { 13 | const { model } = request.params.arguments; 14 | 15 | // Wrap core logic in try...catch 16 | try { 17 | const isValid = await modelCache.validateModel(model); 18 | 19 | // Modify return logic based on validity 20 | if (isValid) { 21 | // Return success ToolResult 22 | return { 23 | isError: false, 24 | content: [ 25 | { 26 | type: 'text', 27 | // Keep simple JSON for valid response 28 | text: JSON.stringify({ model: model, valid: true }, null, 2), 29 | }, 30 | ], 31 | }; 32 | } else { 33 | // Return error ToolResult for invalid model 34 | return { 35 | isError: true, 36 | content: [ 37 | { 38 | type: 'text', 39 | // Use simple error string 40 | text: `Error: Model not found: ${model}`, 41 | }, 42 | ], 43 | }; 44 | } 45 | } catch (error) { 46 | // Catch errors during model validation 47 | console.error(`Error validating model ${model}:`, error); 48 | const errorMessage = error instanceof Error ? error.message : 'An unknown error occurred'; 49 | return { 50 | isError: true, 51 | content: [ 52 | { 53 | type: 'text', 54 | text: `Error: Failed to validate model: ${errorMessage}`, 55 | }, 56 | ], 57 | }; 58 | } 59 | } -------------------------------------------------------------------------------- /src/types.ts: -------------------------------------------------------------------------------- 1 | /** 2 | * Represents a single content item in a tool response. 3 | * Currently, only text content is supported. 4 | */ 5 | export interface ResponseContentItem { 6 | type: "text"; 7 | text: string; 8 | } 9 | 10 | /** 11 | * Unified structure for all tool handler responses. 12 | * Follows the principles outlined in the refactoring plan. 13 | */ 14 | export interface ToolResult { 15 | /** Indicates whether the tool execution resulted in an error. */ 16 | isError: boolean; 17 | /** An array of content items, typically containing a single text item with the result or error message. */ 18 | content: ResponseContentItem[]; 19 | } -------------------------------------------------------------------------------- /tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "target": "ES2022", 4 | "module": "NodeNext", 5 | "moduleResolution": "NodeNext", 6 | "outDir": "./dist", 7 | "rootDir": "./src", 8 | "strict": true, 9 | "esModuleInterop": true, 10 | "skipLibCheck": true, 11 | "forceConsistentCasingInFileNames": true, 12 | "declaration": true, 13 | }, 14 | "include": ["src/**/*"], 15 | "exclude": ["node_modules", "dist"] 16 | } 17 | --------------------------------------------------------------------------------