├── .env.example ├── .github └── workflows │ ├── ci.yml │ └── publish.yml ├── .gitignore ├── LICENSE ├── README.md ├── examples ├── chat-structured.py └── chat.py ├── justfile ├── mcpx_py ├── __init__.py ├── __main__.py └── chat.py ├── pyproject.toml ├── tests ├── __init__.py └── test_mcpx.py └── uv.lock /.env.example: -------------------------------------------------------------------------------- 1 | XTP_APP_ID='app_01je4dgpcyfvgrz8f1ys3pbxas' 2 | XTP_TOKEN='' 3 | XTP_GUEST_KEY='' 4 | XTP_PLUGIN_CACHE_DIR='/tmp/xtp-plugins' 5 | # MCPX_PATH='' 6 | # ANTHROPIC_API_KEY='' 7 | 8 | -------------------------------------------------------------------------------- /.github/workflows/ci.yml: -------------------------------------------------------------------------------- 1 | on: 2 | pull_request: 3 | workflow_dispatch: 4 | push: 5 | branches: 6 | - main 7 | 8 | name: CI 9 | 10 | jobs: 11 | test: 12 | name: Test mcpx-py 13 | runs-on: ${{ matrix.os }} 14 | strategy: 15 | matrix: 16 | os: [ubuntu-latest, macos-latest] 17 | env: 18 | MCP_RUN_SESSION_ID: test-session 19 | steps: 20 | - name: Checkout sources 21 | uses: actions/checkout@v3 22 | - name: Install uv 23 | uses: astral-sh/setup-uv@v5 24 | - run: uv run python3 -m unittest -------------------------------------------------------------------------------- /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | on: 2 | workflow_dispatch: 3 | push: 4 | branches: [ "v*" ] 5 | tags: 6 | - 'v*' 7 | 8 | permissions: 9 | contents: read 10 | id-token: write 11 | 12 | name: Publish 13 | 14 | jobs: 15 | publish: 16 | name: Publish mcpx-py 17 | runs-on: ${{ matrix.os }} 18 | strategy: 19 | matrix: 20 | os: [ubuntu-latest] 21 | steps: 22 | - name: Checkout sources 23 | uses: actions/checkout@v3 24 | - name: Install uv 25 | uses: astral-sh/setup-uv@v5 26 | - name: uv publish 27 | run: | 28 | uv build 29 | uv publish dist/* 30 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | .mcpx-client-history 3 | build 4 | *.egg-info 5 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Copyright 2025 Dylibso, Inc. 2 | 3 | Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 4 | 5 | 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 6 | 7 | 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 8 | 9 | 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. 10 | 11 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 12 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # mcpx-py 2 | [![PyPI](https://img.shields.io/pypi/v/mcpx-py)](https://pypi.org/project/mcpx-py/) 3 | 4 | A Python library for interacting with LLMs using mcp.run tools 5 | 6 | ## Features 7 | 8 | ### AI Provider Support 9 | 10 | `mcpx-py` supports all models supported by [PydanticAI](https://ai.pydantic.dev/models/) 11 | 12 | ## Dependencies 13 | 14 | - `uv` 15 | - `npm` 16 | - `ollama` (optional) 17 | 18 | ## mcp.run Setup 19 | 20 | You will need to get an mcp.run session ID by running: 21 | 22 | ```bash 23 | npx --yes -p @dylibso/mcpx gen-session --write 24 | ``` 25 | 26 | This will generate a new session and write the session ID to a configuration file that can be used 27 | by `mcpx-py`. 28 | 29 | If you need to store the session ID in an environment variable you can run `gen-session` 30 | without the `--write` flag: 31 | 32 | ```bash 33 | npx --yes -p @dylibso/mcpx gen-session 34 | ``` 35 | 36 | which should output something like: 37 | 38 | ``` 39 | Login successful! 40 | Session: kabA7w6qH58H7kKOQ5su4v3bX_CeFn4k.Y4l/s/9dQwkjv9r8t/xZFjsn2fkLzf+tkve89P1vKhQ 41 | ``` 42 | 43 | Then set the `MPC_RUN_SESSION_ID` environment variable: 44 | 45 | ``` 46 | $ export MCP_RUN_SESSION_ID=kabA7w6qH58H7kKOQ5su4v3bX_CeFn4k.Y4l/s/9dQwkjv9r8t/xZFjsn2fkLzf+tkve89P1vKhQ 47 | ``` 48 | 49 | ## Python Usage 50 | 51 | ### Installation 52 | 53 | Using `uv`: 54 | 55 | ```bash 56 | uv add mcpx-py 57 | ``` 58 | 59 | Or `pip`: 60 | 61 | ```bash 62 | pip install mcpx-py 63 | ``` 64 | 65 | ### Example code 66 | 67 | ```python 68 | from mcpx_py import Chat 69 | 70 | llm = Chat("claude-3-5-sonnet-latest") 71 | 72 | # Or OpenAI 73 | # llm = Chat("gpt-4o") 74 | 75 | # Or Ollama 76 | # llm = Chat("ollama:qwen2.5") 77 | 78 | # Or Gemini 79 | # llm = Chat("gemini-2.0-flash") 80 | 81 | response = llm.send_message_sync( 82 | "summarize the contents of example.com" 83 | ) 84 | print(response.data) 85 | ``` 86 | 87 | It's also possible to get structured output by setting `result_type` 88 | 89 | ```python 90 | from mcpx_py import Chat, BaseModel, Field 91 | from typing import List 92 | 93 | class Summary(BaseModel): 94 | """ 95 | A summary of some longer text 96 | """ 97 | source: str = Field("The source of the original_text") 98 | original_text: str = Field("The original text to be summarized") 99 | items: List[str] = Field("A list of summary points") 100 | 101 | llm = Chat("claude-3-5-sonnet-latest", result_type=Summary) 102 | response = llm.send_message_sync( 103 | "summarize the contents of example.com" 104 | ) 105 | print(response.data) 106 | ``` 107 | 108 | More examples can be found in the [examples/](https://github.com/dylibso/mcpx-py/tree/main/examples) directory 109 | 110 | ## Command Line Usage 111 | 112 | ### Installation 113 | 114 | ```sh 115 | uv tool install mcpx-py 116 | ``` 117 | 118 | From git: 119 | 120 | ```sh 121 | uv tool install git+https://github.com/dylibso/mcpx-py 122 | ``` 123 | 124 | Or from the root of the repo: 125 | 126 | ```sh 127 | uv tool install . 128 | ``` 129 | 130 | #### uvx 131 | 132 | mcpx-client can also be executed without being installed using `uvx`: 133 | 134 | ```sh 135 | uvx --from mcpx-py mcpx-client 136 | ``` 137 | 138 | Or from git: 139 | 140 | ```sh 141 | uvx --from git+https://github.com/dylibso/mcpx-py mcpx-client 142 | ``` 143 | 144 | ### Running 145 | 146 | #### Get usage/help 147 | 148 | ```sh 149 | mcpx-client --help 150 | ``` 151 | 152 | #### Chat with an LLM 153 | 154 | ```sh 155 | mcpx-client chat 156 | ``` 157 | 158 | #### List tools 159 | 160 | ```sh 161 | mcpx-client list 162 | ``` 163 | 164 | #### Call a tool 165 | 166 | ```sh 167 | mcpx-client tool eval-js '{"code": "2+2"}' 168 | ``` 169 | 170 | ### LLM Configuration 171 | 172 | #### Provider Setup 173 | 174 | ##### Claude 175 | 1. Sign up for an Anthropic API account at https://console.anthropic.com 176 | 2. Get your API key from the console 177 | 3. Set the environment variable: `ANTHROPIC_API_KEY=your_key_here` 178 | 179 | ##### OpenAI 180 | 1. Create an OpenAI account at https://platform.openai.com 181 | 2. Generate an API key in your account settings 182 | 3. Set the environment variable: `OPENAI_API_KEY=your_key_here` 183 | 184 | ##### Gemini 185 | 1. Create an Gemini account at https://aistudio.google.com 186 | 2. Generate an API key in your account settings 187 | 3. Set the environment variable: `GEMINI_API_KEY=your_key_here` 188 | 189 | ##### Ollama 190 | 1. Install Ollama from https://ollama.ai 191 | 2. Pull your desired model: `ollama pull llama3.2` 192 | 3. No API key needed - runs locally 193 | 194 | ##### Llamafile 195 | 1. Download a Llamafile model from https://github.com/Mozilla-Ocho/llamafile/releases 196 | 2. Make the file executable: `chmod +x your-model.llamafile` 197 | 3. Run in JSON API mode: `./your-model.llamafile --json-api --host 127.0.0.1 --port 8080` 198 | 4. Use with the OpenAI provider pointing to `http://localhost:8080` 199 | -------------------------------------------------------------------------------- /examples/chat-structured.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from mcpx_py import Chat, BaseModel, Field 3 | from typing import List 4 | 5 | 6 | class Summary(BaseModel): 7 | """ 8 | A summary of some longer text 9 | """ 10 | 11 | source: str = Field("The source of the original text") 12 | items: List[str] = Field("A list of summary points") 13 | first_line: str = Field("The first line from the original text") 14 | last_line: str = Field("The last line from the original text") 15 | 16 | 17 | # Using Chat.send_message requires async, so we'll wrap this in an 18 | # async function 19 | async def main(): 20 | # Prompt and print the results 21 | llm = Chat("claude-3-5-sonnet-latest", result_type=Summary) 22 | response = await llm.send_message("summarize the contents of example.com") 23 | print(response.data) 24 | 25 | 26 | if __name__ == "__main__": 27 | asyncio.run(main()) 28 | -------------------------------------------------------------------------------- /examples/chat.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from mcpx_py import Chat, openai_compatible_model 3 | 4 | 5 | # Using Chat.send_message requires async, so we'll wrap this in an 6 | # async function 7 | async def main(): 8 | llm = Chat("claude-3-5-sonnet-latest") 9 | 10 | # Or OpenAI 11 | # llm = Chat("gpt-4o") 12 | 13 | # Or Ollama 14 | # llm = Chat(openai_compatible_model("http://127.0.0.1:11434/v1", "qwen2.5")) 15 | 16 | # Or Gemini 17 | # llm = Chat("gemini-2.0-flash") 18 | 19 | # Prompt and print the results 20 | response = await llm.send_message("summarize the contents of http://example.com") 21 | print(response.data) 22 | response = await llm.send_message( 23 | "without refetching the contents, what are the first and last lines on that page?" 24 | ) 25 | print(response.data) 26 | 27 | 28 | if __name__ == "__main__": 29 | asyncio.run(main()) 30 | -------------------------------------------------------------------------------- /justfile: -------------------------------------------------------------------------------- 1 | test: 2 | uv run python3 -m unittest 3 | 4 | format: 5 | uv run ruff format mcpx_py examples 6 | 7 | check: 8 | uv run ruff check mcpx_py examples 9 | 10 | chat: 11 | uv run python3 -m mcpx_py chat 12 | -------------------------------------------------------------------------------- /mcpx_py/__init__.py: -------------------------------------------------------------------------------- 1 | from .chat import Chat 2 | from mcpx_pydantic_ai import ( 3 | Agent, 4 | BaseModel, 5 | Field, 6 | pydantic_ai, 7 | pydantic, 8 | openai_compatible_model, 9 | ) 10 | import mcp_run 11 | 12 | __all__ = [ 13 | "Chat", 14 | "Agent", 15 | "BaseModel", 16 | "Field", 17 | "mcp_run", 18 | "pydantic_ai", 19 | "pydantic", 20 | "openai_compatible_model", 21 | ] 22 | -------------------------------------------------------------------------------- /mcpx_py/__main__.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import os 4 | import readline 5 | import atexit 6 | import argparse 7 | import json 8 | import psutil 9 | import traceback 10 | import logging 11 | from pydoc import locate 12 | 13 | from dotenv import load_dotenv 14 | 15 | from . import Chat 16 | from mcp_run import Client, ClientConfig 17 | from mcpx_pydantic_ai import openai_compatible_model 18 | from .chat import SYSTEM_PROMPT 19 | import pydantic_ai 20 | 21 | CHAT_HELP = """ 22 | Available commands: 23 | !help - Show this help message 24 | !clear - Clear chat history 25 | !exit - Exit the chat 26 | !tools - List available tools 27 | !sh - Execute a shell command 28 | """ 29 | 30 | 31 | async def list_cmd(client, args): 32 | for install in client.installs.values(): 33 | for tool in install.tools.values(): 34 | print() 35 | 36 | print(tool.name) 37 | print(tool.description) 38 | print("Input schema:") 39 | print(json.dumps(tool.input_schema, indent=2)) 40 | 41 | 42 | async def tool_cmd(client, args): 43 | try: 44 | res = client.call_tool(tool=args.name, input=json.loads(args.input)) 45 | for c in res: 46 | if c.type == "text": 47 | print(c.text) 48 | except Exception as e: 49 | print(f"Unexpected error: {str(e)}") 50 | 51 | 52 | EXIT_COUNT = 0 53 | CACHED_TOOLS = [] 54 | 55 | 56 | async def chat_loop(chat): 57 | global EXIT_COUNT, CACHED_TOOLS 58 | try: 59 | msg = input("> ").strip() 60 | EXIT_COUNT = 0 61 | except EOFError: 62 | if EXIT_COUNT == 0: 63 | print("\nPress Ctrl+D again to exit") 64 | else: 65 | EXIT_COUNT = 0 66 | return False 67 | EXIT_COUNT += 1 68 | return True 69 | 70 | try: 71 | # Handle special commands 72 | if msg.startswith("!") or msg == "exit" or msg == "quit": 73 | if msg == "!help": 74 | print(CHAT_HELP) 75 | return True 76 | elif msg == "!clear": 77 | chat.clear_history() 78 | print("Chat history cleared") 79 | return True 80 | elif msg == "!tools": 81 | if len(CACHED_TOOLS) > 0: 82 | tools = CACHED_TOOLS 83 | else: 84 | tools = [] 85 | async for tool in chat.list_tools(): 86 | tools.append(tool) 87 | CACHED_TOOLS = tools 88 | print("\nAvailable tools:") 89 | for tool in tools: 90 | if tool is None: 91 | continue 92 | print(f"- {tool.name.strip()}") 93 | print(f"\t{tool.description.strip()}") 94 | return True 95 | elif msg.startswith("!sh "): 96 | os.system(msg[4:]) 97 | return True 98 | elif msg in ["!exit", "!quit", "exit", "quit"]: 99 | print("Goodbye!") 100 | return False 101 | if msg == "": 102 | return True 103 | async for res in chat.iter_content(msg): 104 | if not hasattr(res, "parts"): 105 | continue 106 | 107 | for part in res.parts: 108 | if isinstance(part, pydantic_ai.messages.TextPart): 109 | print(part.content) 110 | elif isinstance(part, pydantic_ai.messages.ToolCallPart): 111 | args = part.args 112 | if isinstance(args, str): 113 | args = json.loads(args) 114 | print( 115 | f">> Tool: {part.tool_name} ({part.tool_call_id}) input={args}" 116 | ) 117 | except Exception: 118 | print("\nERROR>>", traceback.format_exc()) 119 | return True 120 | 121 | 122 | async def chat_cmd(client: Client, args): 123 | m = args.model 124 | if args.provider: 125 | if args.provider == "ollama" or args.provider == "llama": 126 | host = os.environ.get( 127 | f"{args.model.upper()}_HOST", 128 | os.environ.get( 129 | "LLAMA_HOST", 130 | os.environ.get("OLLAMA_HOST", "http://127.0.0.1:11434"), 131 | ), 132 | ) 133 | if not host.endswith("/v1"): 134 | host += "/v1" 135 | m = openai_compatible_model(host, args.model) 136 | else: 137 | m = f"{args.provider}:{m}" 138 | 139 | chat = Chat( 140 | m, 141 | client=client, 142 | system_prompt=args.system, 143 | result_type=locate(args.format), 144 | ignore_tools=args.ignore, 145 | ) 146 | 147 | while True: 148 | ok = await chat_loop(chat) 149 | if not ok: 150 | break 151 | 152 | 153 | def killtree(pid): 154 | parent = psutil.Process(pid) 155 | for child in parent.children(recursive=True): 156 | child.kill() 157 | 158 | 159 | async def run(args): 160 | # Setup command history 161 | histfile = os.path.join( 162 | os.environ.get("XTP_PLUGIN_CACHE_DIR", os.environ["HOME"]), 163 | ".mcpx-client-history", 164 | ) 165 | try: 166 | readline.set_history_length(1000) 167 | 168 | # Try to read existing history 169 | try: 170 | readline.read_history_file(histfile) 171 | except FileNotFoundError: 172 | pass 173 | except PermissionError: 174 | pass 175 | 176 | # Register history save on exit 177 | atexit.register(readline.write_history_file, histfile) 178 | except Exception as e: 179 | print(f"Warning: Could not setup command history: {str(e)}") 180 | 181 | client = Client(config=ClientConfig(base_url=args.base_url, profile=args.profile)) 182 | if args.log_level is not None and args.log_level != "off": 183 | level = logging.getLevelName(args.log_level.upper()) 184 | client.configure_logging(level=level) 185 | 186 | await args.func(client, args) 187 | 188 | 189 | def main(): 190 | import asyncio 191 | 192 | args = argparse.ArgumentParser(prog="mcpx-client") 193 | args.add_argument( 194 | "--log-level", 195 | choices=["off", "critical", "fatal", "warn", "info", "debug", "error"], 196 | help="Select log level", 197 | ) 198 | args.add_argument("--base-url", default="https://www.mcp.run", help="mcp.run URL") 199 | args.add_argument("--profile", default="~/default", help="mcpx profile") 200 | sub = args.add_subparsers(title="subcommand", help="subcommands", required=True) 201 | 202 | # List subcommand 203 | list_parser = sub.add_parser("list") 204 | list_parser.set_defaults(func=list_cmd) 205 | 206 | # Tool subcommand 207 | tool_parser = sub.add_parser("tool") 208 | tool_parser.set_defaults(func=tool_cmd) 209 | tool_parser.add_argument("name", help="Install name name") 210 | tool_parser.add_argument("input", help="Tool input", nargs="?", default="{}") 211 | 212 | # Chat subcommand 213 | chat_parser = sub.add_parser("chat") 214 | chat_parser.set_defaults(func=chat_cmd) 215 | chat_parser.add_argument( 216 | "--provider", 217 | "-p", 218 | default=None, 219 | help="LLM provider", 220 | ) 221 | chat_parser.add_argument( 222 | "--ignore", "-x", default=[], action="append", help="Tools to ignore" 223 | ) 224 | chat_parser.add_argument( 225 | "--model", default="claude-3-5-sonnet-latest", help="Model name" 226 | ) 227 | chat_parser.add_argument("--system", default=SYSTEM_PROMPT, help="System prompt") 228 | chat_parser.add_argument("--format", default="str", help="Output format") 229 | 230 | # Run 231 | asyncio.run(run(args.parse_args())) 232 | 233 | 234 | if __name__ == "__main__": 235 | load_dotenv() 236 | main() 237 | -------------------------------------------------------------------------------- /mcpx_py/chat.py: -------------------------------------------------------------------------------- 1 | from mcpx_pydantic_ai import Agent, pydantic_ai 2 | 3 | 4 | import asyncio 5 | 6 | 7 | SYSTEM_PROMPT = """ 8 | - Do not come up with directions or indications. 9 | - Always use the provided tools/functions when applicable, and share the 10 | results of tool calls with the user 11 | - Invoke the tools upon requests you cannot fulfill on your own 12 | and parse the responses 13 | - Always try to provide a well formatted, itemized summary 14 | - If the user provides the result of a tool and no other action is needed just 15 | repeat it back to them 16 | - Only perform verification of a computation at most once if absolutely needed, 17 | if a computation is performed using a tool then the results do not need to be 18 | re-verified 19 | """ 20 | 21 | 22 | class Chat: 23 | """ 24 | LLM chat 25 | """ 26 | 27 | agent: Agent 28 | history: list 29 | 30 | def __init__( 31 | self, 32 | *args, 33 | **kw, 34 | ): 35 | if "system_prompt" not in kw: 36 | kw["system_prompt"] = SYSTEM_PROMPT 37 | 38 | self.agent = Agent( 39 | *args, 40 | **kw, 41 | ) 42 | self.history = [] 43 | 44 | @property 45 | def client(self): 46 | """ 47 | mcp.run client 48 | """ 49 | return self.agent.client 50 | 51 | def clear_history(self): 52 | """ 53 | Clear chat history 54 | """ 55 | self.history = [] 56 | 57 | async def send_message(self, msg: str, run_mcp_servers: bool = True, *args, **kw): 58 | """ 59 | Send a chat message to the LLM 60 | """ 61 | 62 | async def inner(): 63 | with pydantic_ai.capture_run_messages() as messages: 64 | return ( 65 | await self.agent.run( 66 | msg, 67 | message_history=self.history, 68 | *args, 69 | **kw, 70 | ), 71 | messages, 72 | ) 73 | 74 | if run_mcp_servers: 75 | async with self.agent.run_mcp_servers(): 76 | res, messages = await inner() 77 | else: 78 | res, messages = await inner() 79 | self.history.extend(messages) 80 | return res 81 | 82 | def send_message_sync(self, *args, **kw): 83 | """ 84 | Send a chat message to the LLM synchronously 85 | 86 | This creates a new event loop to run the async send_message method. 87 | """ 88 | # Create a new event loop to avoid warnings about coroutines not being awaited 89 | loop = asyncio.new_event_loop() 90 | try: 91 | return loop.run_until_complete(self.send_message(*args, **kw)) 92 | finally: 93 | loop.close() 94 | 95 | async def iter(self, msg: str, run_mcp_servers: bool = True, *args, **kw): 96 | """ 97 | Send a chat message to the LLM 98 | """ 99 | 100 | async def inner(): 101 | with pydantic_ai.capture_run_messages() as messages: 102 | async with self.agent.iter( 103 | msg, message_history=self.history, *args, **kw 104 | ) as run: 105 | async for node in run: 106 | yield node 107 | self.history.extend(messages) 108 | 109 | if run_mcp_servers: 110 | async with self.agent.run_mcp_servers(): 111 | async for msg in inner(): 112 | yield msg 113 | else: 114 | async for msg in inner(): 115 | yield msg 116 | 117 | async def iter_content(self, msg: str, run_mcp_servers: bool = True, *args, **kw): 118 | """ 119 | Send a chat message to the LLM 120 | """ 121 | 122 | async def inner(): 123 | with pydantic_ai.capture_run_messages() as messages: 124 | async with self.agent.iter( 125 | msg, message_history=self.history, *args, **kw 126 | ) as run: 127 | async for node in run: 128 | if hasattr(node, "response"): 129 | content = node.response 130 | elif hasattr(node, "model_response"): 131 | content = node.model_response 132 | elif hasattr(node, "request"): 133 | content = node.request 134 | elif hasattr(node, "model_request"): 135 | content = node.model_request 136 | elif hasattr(node, "data"): 137 | content = node.data 138 | elif hasattr(node, "output"): 139 | content = node 140 | else: 141 | continue 142 | yield content 143 | self.history.extend(messages) 144 | 145 | f = inner() 146 | if run_mcp_servers: 147 | async with self.agent.run_mcp_servers(): 148 | async for msg in f: 149 | yield msg 150 | else: 151 | async for msg in f: 152 | yield msg 153 | 154 | async def inspect(self, msg: str, run_mcp_servers: bool = True, *args, **kw): 155 | """ 156 | Send a chat message to the LLM 157 | """ 158 | 159 | async def inner(): 160 | with pydantic_ai.capture_run_messages() as messages: 161 | res = await self.agent.run( 162 | msg, 163 | message_history=self.history, 164 | *args, 165 | **kw, 166 | ) 167 | return res, messages 168 | 169 | if run_mcp_servers: 170 | async with self.agent.run_mcp_servers(): 171 | return await inner() 172 | else: 173 | return await inner() 174 | 175 | async def list_tools(self): 176 | async with self.client.mcp_sse(self.agent.client.profile).connect() as session: 177 | tools = await session.list_tools() 178 | for tool in tools.tools: 179 | yield tool 180 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "mcpx-py" 3 | version = "0.7.0" 4 | description = "An mcp.run client for Python" 5 | readme = "README.md" 6 | requires-python = ">=3.12" 7 | dependencies = [ 8 | "mcpx-pydantic-ai>=0.7.0", 9 | "psutil>=7.0.0", 10 | "python-dotenv>=1.0.1", 11 | ] 12 | 13 | [tool.uv] 14 | package = true 15 | dev-dependencies = [ 16 | "python-lsp-ruff>=2.2.2", 17 | "python-lsp-server>=1.12.0", 18 | "ruff>=0.8.1", 19 | ] 20 | 21 | [project.scripts] 22 | mcpx-client = "mcpx_py.__main__:main" 23 | 24 | # Workaround for uv/setuptools version mismatch 25 | # https://github.com/astral-sh/uv/issues/9513#issuecomment-2519527822 26 | [tool.setuptools] 27 | license-files = [] 28 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- 1 | # tests 2 | -------------------------------------------------------------------------------- /tests/test_mcpx.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | import asyncio 3 | import warnings 4 | from unittest.mock import AsyncMock, MagicMock, patch 5 | 6 | # Suppress warnings about coroutines not being awaited 7 | warnings.filterwarnings("ignore", category=RuntimeWarning, message="coroutine.*was never awaited") 8 | 9 | from mcpx_py.chat import Chat 10 | 11 | 12 | class TestChat(unittest.TestCase): 13 | """Tests for the Chat class""" 14 | 15 | def setUp(self): 16 | """Setup for each test""" 17 | # Create a mocked Agent for testing without API calls 18 | self.mock_agent = MagicMock() 19 | self.mock_agent.run = AsyncMock(return_value="Mocked response") 20 | 21 | # Mock run_mcp_servers context manager 22 | mock_servers = MagicMock() 23 | mock_servers.__aenter__ = AsyncMock() 24 | mock_servers.__aexit__ = AsyncMock() 25 | self.mock_agent.run_mcp_servers.return_value = mock_servers 26 | 27 | # Setup mock for iteration 28 | self.mock_node = MagicMock() 29 | self.mock_node.response = "Response content" 30 | 31 | # Create a proper async iterator mock 32 | class AsyncIterator: 33 | def __init__(self, items): 34 | self.items = items 35 | 36 | def __aiter__(self): 37 | return self 38 | 39 | async def __anext__(self): 40 | if not self.items: 41 | raise StopAsyncIteration 42 | return self.items.pop(0) 43 | 44 | # Create context manager for iter 45 | mock_iter_cm = MagicMock() 46 | mock_iter_cm.__aenter__ = AsyncMock() 47 | mock_iter_cm.__aexit__ = AsyncMock() 48 | 49 | # Set up the iterator to return our mock node 50 | mock_iter_cm.__aenter__.return_value = AsyncIterator([self.mock_node]) 51 | self.mock_agent.iter.return_value = mock_iter_cm 52 | 53 | @patch('mcpx_py.chat.Agent') 54 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 55 | def test_chat_init(self, mock_capture, mock_agent_class): 56 | """Test Chat initialization""" 57 | # Arrange 58 | mock_agent_class.return_value = self.mock_agent 59 | 60 | # Act 61 | chat = Chat(model="claude-3-haiku-20240307") 62 | 63 | # Assert 64 | self.assertIsNotNone(chat.agent) 65 | self.assertEqual(chat.history, []) 66 | mock_agent_class.assert_called_once() 67 | 68 | @patch('mcpx_py.chat.Agent') 69 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 70 | def test_chat_clear_history(self, mock_capture, mock_agent_class): 71 | """Test clearing chat history""" 72 | # Arrange 73 | mock_agent_class.return_value = self.mock_agent 74 | chat = Chat(model="claude-3-haiku-20240307") 75 | chat.history = ["message1", "message2"] 76 | 77 | # Act 78 | chat.clear_history() 79 | 80 | # Assert 81 | self.assertEqual(chat.history, []) 82 | 83 | def run_async(self, coro): 84 | """Helper method to run async code in tests""" 85 | # Suppress warnings about coroutines not being awaited 86 | with warnings.catch_warnings(): 87 | warnings.simplefilter("ignore", RuntimeWarning) 88 | # Create a new event loop to avoid warnings about coroutines not being awaited 89 | loop = asyncio.new_event_loop() 90 | asyncio.set_event_loop(loop) 91 | try: 92 | return loop.run_until_complete(coro) 93 | finally: 94 | loop.close() 95 | asyncio.set_event_loop(None) 96 | 97 | @patch('mcpx_py.chat.Agent') 98 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 99 | def test_send_message(self, mock_capture, mock_agent_class): 100 | """Test sending a message""" 101 | # Arrange 102 | mock_agent_class.return_value = self.mock_agent 103 | mock_context = MagicMock() 104 | mock_context.__enter__ = MagicMock(return_value=["captured_message"]) 105 | mock_context.__exit__ = MagicMock(return_value=None) 106 | mock_capture.return_value = mock_context 107 | 108 | chat = Chat(model="claude-3-haiku-20240307") 109 | 110 | # Act - Run the async function in the test 111 | result = self.run_async(chat.send_message("Hello, AI!")) 112 | 113 | # Assert 114 | self.assertEqual(result, "Mocked response") 115 | self.mock_agent.run.assert_called_once() 116 | self.assertEqual(chat.history, ["captured_message"]) 117 | 118 | @patch('mcpx_py.chat.Agent') 119 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 120 | @patch('asyncio.new_event_loop') 121 | def test_send_message_sync(self, mock_new_loop, mock_capture, mock_agent_class): 122 | """Test sending a message synchronously""" 123 | # Arrange 124 | mock_agent_class.return_value = self.mock_agent 125 | mock_context = MagicMock() 126 | mock_context.__enter__ = MagicMock(return_value=["captured_message"]) 127 | mock_context.__exit__ = MagicMock(return_value=None) 128 | mock_capture.return_value = mock_context 129 | 130 | # Setup mock loop 131 | mock_loop = MagicMock() 132 | mock_loop.run_until_complete = MagicMock(return_value="Mocked response") 133 | mock_new_loop.return_value = mock_loop 134 | 135 | chat = Chat(model="claude-3-haiku-20240307") 136 | 137 | # Act 138 | result = chat.send_message_sync("Hello, AI!") 139 | 140 | # Assert 141 | mock_loop.run_until_complete.assert_called_once() 142 | mock_loop.close.assert_called_once() 143 | self.assertEqual(result, "Mocked response") 144 | 145 | @patch('mcpx_py.chat.Agent') 146 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 147 | def test_iter(self, mock_capture, mock_agent_class): 148 | """Test iterating through responses""" 149 | # Arrange 150 | mock_agent_class.return_value = self.mock_agent 151 | mock_context = MagicMock() 152 | mock_context.__enter__ = MagicMock(return_value=["captured_message"]) 153 | mock_context.__exit__ = MagicMock(return_value=None) 154 | mock_capture.return_value = mock_context 155 | 156 | chat = Chat(model="claude-3-haiku-20240307") 157 | 158 | # Act & Assert - Run the async test 159 | async def test_async(): 160 | nodes = [] 161 | async for node in chat.iter("Hello, AI!"): 162 | nodes.append(node) 163 | return nodes 164 | 165 | nodes = self.run_async(test_async()) 166 | 167 | # Assert 168 | self.assertEqual(len(nodes), 1) 169 | self.assertEqual(nodes[0], self.mock_node) 170 | 171 | @patch('mcpx_py.chat.Agent') 172 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 173 | def test_iter_content(self, mock_capture, mock_agent_class): 174 | """Test iterating through content""" 175 | # Arrange 176 | mock_agent_class.return_value = self.mock_agent 177 | mock_context = MagicMock() 178 | mock_context.__enter__ = MagicMock(return_value=["captured_message"]) 179 | mock_context.__exit__ = MagicMock(return_value=None) 180 | mock_capture.return_value = mock_context 181 | 182 | chat = Chat(model="claude-3-haiku-20240307") 183 | 184 | # Act & Assert - Run the async test 185 | async def test_async(): 186 | contents = [] 187 | async for content in chat.iter_content("Hello, AI!"): 188 | contents.append(content) 189 | return contents 190 | 191 | contents = self.run_async(test_async()) 192 | 193 | # Assert 194 | self.assertEqual(contents, ["Response content"]) 195 | 196 | @patch('mcpx_py.chat.Agent') 197 | @patch('mcpx_py.chat.pydantic_ai.capture_run_messages') 198 | def test_inspect(self, mock_capture, mock_agent_class): 199 | """Test inspecting a message exchange""" 200 | # Arrange 201 | mock_agent_class.return_value = self.mock_agent 202 | mock_context = MagicMock() 203 | mock_context.__enter__ = MagicMock(return_value=["captured_message"]) 204 | mock_context.__exit__ = MagicMock(return_value=None) 205 | mock_capture.return_value = mock_context 206 | 207 | chat = Chat(model="claude-3-haiku-20240307") 208 | 209 | # Act 210 | result, messages = self.run_async(chat.inspect("Hello, AI!")) 211 | 212 | # Assert 213 | self.assertEqual(result, "Mocked response") 214 | self.assertEqual(messages, ["captured_message"]) 215 | 216 | if __name__ == '__main__': 217 | # Set up proper handling of asyncio policies for tests 218 | if hasattr(asyncio, 'WindowsSelectorEventLoopPolicy') and isinstance( 219 | asyncio.get_event_loop_policy(), asyncio.WindowsSelectorEventLoopPolicy): 220 | asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy()) 221 | 222 | # 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