├── meme.jpeg ├── app ├── __init__.py ├── web_browser.py ├── search.py └── code_execution.py ├── claude_desktop_config.json ├── .gitignore ├── .env.example ├── run.py ├── setup.sh ├── pyproject.toml ├── README.md ├── mcp_server.py └── uv.lock /meme.jpeg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/manus-mcp/HEAD/meme.jpeg -------------------------------------------------------------------------------- /app/__init__.py: -------------------------------------------------------------------------------- 1 | # Manus MCP Server 2 | # A Model Context Protocol (MCP) server that can browse the web, perform search queries, and execute code. -------------------------------------------------------------------------------- /claude_desktop_config.json: -------------------------------------------------------------------------------- 1 | { 2 | "mcpServers": { 3 | "manus-mcp": { 4 | "command": "uv", 5 | "args": [ 6 | "--directory", 7 | "/ABOSLUTE/PATH/TO/manus-mcp", 8 | "run", 9 | "mcp_server.py" 10 | ] 11 | } 12 | } 13 | } -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Python 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | *.so 6 | .Python 7 | build/ 8 | develop-eggs/ 9 | dist/ 10 | downloads/ 11 | eggs/ 12 | .eggs/ 13 | lib/ 14 | lib64/ 15 | parts/ 16 | sdist/ 17 | var/ 18 | wheels/ 19 | *.egg-info/ 20 | .installed.cfg 21 | *.egg 22 | 23 | # Virtual Environment 24 | .env 25 | .venv 26 | env/ 27 | venv/ 28 | ENV/ 29 | 30 | # IDE specific files 31 | .idea/ 32 | .vscode/ 33 | *.swp 34 | *.swo 35 | 36 | # OS specific files 37 | .DS_Store 38 | Thumbs.db 39 | 40 | # Logs 41 | *.log -------------------------------------------------------------------------------- /.env.example: -------------------------------------------------------------------------------- 1 | # Server configuration 2 | MCP_PORT=8000 3 | MCP_HOST=127.0.0.1 4 | LOG_LEVEL=INFO 5 | 6 | # Feature: Web Browser 7 | # Browser configuration 8 | BROWSER_HEADLESS=false 9 | # Uncomment to use your normal Chrome browser instead of launching a new instance 10 | # CHROME_INSTANCE_PATH="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" 11 | 12 | # Feature: Search 13 | # Google Search configuration 14 | GOOGLE_SEARCH_USER_AGENT="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" 15 | GOOGLE_SEARCH_MAX_RESULTS=10 16 | 17 | # Feature: Code Execution 18 | # Uncomment and configure when implementing code execution 19 | # CODE_EXECUTION_TIMEOUT=30 # in seconds -------------------------------------------------------------------------------- /app/web_browser.py: -------------------------------------------------------------------------------- 1 | """ 2 | Web browsing module for Manus MCP. 3 | 4 | This module will provide tools for browsing the web, including: 5 | - Fetching web pages 6 | - Extracting content 7 | - Navigating websites 8 | """ 9 | 10 | from typing import Dict, Any 11 | 12 | 13 | async def fetch_webpage(url: str) -> Dict[str, Any]: 14 | """ 15 | Fetches a webpage from the given URL. 16 | 17 | Args: 18 | url: The URL to fetch 19 | 20 | Returns: 21 | Dict with the page content and metadata 22 | """ 23 | # TODO: Implement webpage fetching 24 | raise NotImplementedError("Web browsing functionality is not yet implemented.") 25 | 26 | 27 | async def extract_content(html: str) -> Dict[str, Any]: 28 | """ 29 | Extracts relevant content from HTML. 30 | 31 | Args: 32 | html: The HTML content to extract from 33 | 34 | Returns: 35 | Dict with extracted content 36 | """ 37 | # TODO: Implement content extraction 38 | raise NotImplementedError("Content extraction is not yet implemented.") -------------------------------------------------------------------------------- /run.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | """ 3 | Manus MCP Server Runner 4 | 5 | This script runs the Manus MCP server. 6 | """ 7 | 8 | import os 9 | import sys 10 | import logging 11 | from dotenv import load_dotenv 12 | import uvicorn 13 | 14 | # Load environment variables from .env file if it exists 15 | load_dotenv() 16 | 17 | # Configure logging 18 | logging.basicConfig( 19 | level=getattr(logging, os.getenv("LOG_LEVEL", "INFO")), 20 | format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", 21 | ) 22 | logger = logging.getLogger("manus-mcp") 23 | 24 | def main(): 25 | """Run the Manus MCP server.""" 26 | try: 27 | host = os.getenv("MCP_HOST", "127.0.0.1") 28 | port = int(os.getenv("MCP_PORT", "8000")) 29 | 30 | logger.info(f"Starting Manus MCP server on {host}:{port}") 31 | uvicorn.run( 32 | "app.main:app", 33 | host=host, 34 | port=port, 35 | reload=True, 36 | ) 37 | except Exception as e: 38 | logger.error(f"Error starting server: {e}") 39 | sys.exit(1) 40 | 41 | if __name__ == "__main__": 42 | main() -------------------------------------------------------------------------------- /setup.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # Setup script for Manus MCP 3 | 4 | # Check if uv is installed 5 | if ! command -v uv &> /dev/null; then 6 | echo "uv is not installed. Installing uv..." 7 | curl -LsSf https://astral.sh/uv/install.sh | sh 8 | # Reload shell configuration 9 | if [ -f "$HOME/.bashrc" ]; then 10 | source "$HOME/.bashrc" 11 | elif [ -f "$HOME/.zshrc" ]; then 12 | source "$HOME/.zshrc" 13 | fi 14 | else 15 | echo "uv is already installed." 16 | fi 17 | 18 | # Create virtual environment 19 | echo "Creating virtual environment..." 20 | uv venv 21 | 22 | # Activate virtual environment 23 | echo "Activating virtual environment..." 24 | source .venv/bin/activate 25 | 26 | # Install dependencies 27 | echo "Installing dependencies..." 28 | uv pip install -e . 29 | 30 | # Create .env file if it doesn't exist 31 | if [ ! -f ".env" ]; then 32 | echo "Creating .env file..." 33 | cp .env.example .env 34 | fi 35 | 36 | echo "Setup complete! You can now run the server with:" 37 | echo "source .venv/bin/activate && ./run.py" 38 | echo "" 39 | echo "To install development dependencies, run:" 40 | echo "uv pip install -e \".[dev]\"" -------------------------------------------------------------------------------- /app/search.py: -------------------------------------------------------------------------------- 1 | """ 2 | Search module for Manus MCP. 3 | 4 | This module will provide tools for searching the web and other sources, including: 5 | - Web search 6 | - Image search 7 | - News search 8 | """ 9 | 10 | from typing import Dict, Any, List 11 | 12 | 13 | async def web_search(query: str, num_results: int = 5) -> List[Dict[str, Any]]: 14 | """ 15 | Performs a web search with the given query. 16 | 17 | Args: 18 | query: The search query 19 | num_results: The number of results to return 20 | 21 | Returns: 22 | List of search results 23 | """ 24 | # TODO: Implement web search 25 | raise NotImplementedError("Web search functionality is not yet implemented.") 26 | 27 | 28 | async def image_search(query: str, num_results: int = 5) -> List[Dict[str, Any]]: 29 | """ 30 | Performs an image search with the given query. 31 | 32 | Args: 33 | query: The search query 34 | num_results: The number of results to return 35 | 36 | Returns: 37 | List of image results 38 | """ 39 | # TODO: Implement image search 40 | raise NotImplementedError("Image search functionality is not yet implemented.") -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [build-system] 2 | requires = ["hatchling"] 3 | build-backend = "hatchling.build" 4 | 5 | [project] 6 | name = "manus-mcp" 7 | version = "0.1.0" 8 | description = "An MCP server that can browse the web, perform search queries, and execute code" 9 | readme = "README.md" 10 | requires-python = ">=3.11" 11 | license = {text = "MIT"} 12 | authors = [ 13 | {name = "Your Name", email = "your.email@example.com"}, 14 | ] 15 | 16 | dependencies = [ 17 | "fastapi>=0.104.1", 18 | "uvicorn>=0.30.0", 19 | "pydantic>=2.4.2", 20 | "httpx>=0.27.0", 21 | "python-dotenv>=1.0.0", 22 | "mcp==1.4.1", 23 | "googlesearch-python>=1.2.3", 24 | "browser-use>=0.1.40", 25 | ] 26 | 27 | [project.optional-dependencies] 28 | dev = [ 29 | "black", 30 | "isort", 31 | "mypy", 32 | "pytest", 33 | ] 34 | 35 | [tool.hatch.build.targets.wheel] 36 | packages = ["app"] 37 | 38 | [tool.black] 39 | line-length = 88 40 | target-version = ["py311"] 41 | 42 | [tool.isort] 43 | profile = "black" 44 | line_length = 88 45 | 46 | [tool.mypy] 47 | python_version = "3.11" 48 | warn_return_any = true 49 | warn_unused_configs = true 50 | disallow_untyped_defs = true 51 | disallow_incomplete_defs = true -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Manus MCP 2 | 3 |

4 | Manus MCP 5 |

6 | 7 | A Model Context Protocol (MCP) server implementation that can browse the web, perform search queries, and execute code. 8 | 9 | ## Current Features 10 | 11 | - "google_search" tool that performs Google searches and returns relevant links 12 | - "browse_web" tool that allows browsing websites, clicking elements, and extracting content 13 | - "code_interpreter" tool that allows reading, writing, and executing code in a sandbox environment 14 | - "bash_tool" tool that allows running shell commands in the sandbox directory 15 | 16 | ## Using with Claude for Desktop 17 | 18 | To use Manus MCP with Claude for Desktop: 19 | 20 | 1. Create or edit the Claude for Desktop configuration file: 21 | - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` 22 | 23 | 2. Add the following configuration: 24 | ```json 25 | { 26 | "mcpServers": { 27 | "manus-mcp": { 28 | "command": "uv", 29 | "args": [ 30 | "--directory", 31 | "/ABSOLUTE/PATH/TO/manus-mcp", 32 | "run", 33 | "mcp_server.py" 34 | ] 35 | } 36 | } 37 | } 38 | ``` 39 | 40 | 3. Restart Claude for Desktop 41 | 42 | 4. You should now see the Manus MCP tools available in Claude for Desktop 43 | 44 | ## Available Tools 45 | 46 | ### hello_world 47 | 48 | A simple greeting tool that returns a welcome message. 49 | 50 | ### google_search 51 | 52 | Performs Google searches and returns a list of relevant links. 53 | 54 | ### browse_web 55 | 56 | Interacts with a web browser to navigate websites and extract information. Supported actions: 57 | - `navigate`: Go to a specific URL 58 | - `click`: Click an element by index 59 | - `input_text`: Input text into an element 60 | - `get_content`: Get the page content 61 | - `execute_js`: Execute JavaScript code 62 | - `scroll`: Scroll the page 63 | - `refresh`: Refresh the current page 64 | 65 | ### code_interpreter 66 | 67 | Allows reading, writing, and executing code files in a sandboxed environment. Supported actions: 68 | - `read`: Read the contents of a file 69 | - `write`: Write content to a file 70 | - `execute`: Execute a file or code snippet 71 | - `list`: List files in the sandbox 72 | 73 | Supports multiple programming languages including Python, JavaScript (Node.js), Bash, Ruby, Perl, and R. 74 | 75 | ### bash_tool 76 | 77 | Executes bash commands in the sandbox directory. Features: 78 | - Run commands in foreground or background mode 79 | - Start web servers and other long-running processes 80 | - Install packages and dependencies 81 | - Manage files and processes 82 | 83 | ## Environment Variables 84 | 85 | The following environment variables can be configured: 86 | 87 | - `SANDBOX_DIR`: Path to the sandbox directory (default: `~/manus-sandbox`) 88 | - `GLOBAL_TIMEOUT`: Global timeout for all operations in seconds (default: 60) 89 | - `BROWSER_HEADLESS`: Whether to run the browser in headless mode (default: false) 90 | - `GOOGLE_SEARCH_MAX_RESULTS`: Maximum number of search results to return (default: 10) 91 | - `LOG_LEVEL`: Logging level (default: INFO) 92 | 93 | ## Development Guide 94 | 95 | ### Prerequisites 96 | 97 | - Python 3.11+ 98 | - [uv](https://github.com/astral-sh/uv) - Fast Python package installer and resolver 99 | 100 | ### Installation 101 | 102 | #### Using Setup Script (Recommended) 103 | 104 | ```bash 105 | ./setup.sh 106 | ``` 107 | 108 | #### Manual Installation 109 | 110 | 1. Clone the repository 111 | ```bash 112 | git clone https://github.com/yourusername/manus-mcp.git 113 | cd manus-mcp 114 | ``` 115 | 116 | 2. Create a virtual environment and install dependencies 117 | ```bash 118 | uv venv 119 | source .venv/bin/activate 120 | uv pip install -e . # Install the project and its dependencies 121 | ``` 122 | 123 | 3. Run the server 124 | ```bash 125 | # Make sure your virtual environment is activated 126 | source .venv/bin/activate 127 | ./run.py 128 | # or 129 | uvicorn app.main:app --reload 130 | ``` 131 | 132 | 4. Visit `http://localhost:8000/docs` to see the API documentation 133 | 134 | ### Development Dependencies 135 | 136 | To install development dependencies: 137 | 138 | ```bash 139 | uv pip install -e ".[dev]" 140 | ``` 141 | 142 | ### API Documentation 143 | 144 | The API follows the [Model Context Protocol (MCP) specification](https://modelcontextprotocol.io/). 145 | 146 | ## License 147 | 148 | [MIT](LICENSE) -------------------------------------------------------------------------------- /app/code_execution.py: -------------------------------------------------------------------------------- 1 | """ 2 | Code execution module for Manus MCP. 3 | 4 | This module will provide tools for executing code in various languages, including: 5 | - Python 6 | - JavaScript 7 | - Shell commands 8 | """ 9 | 10 | from typing import Dict, Any 11 | import asyncio 12 | import json 13 | import logging 14 | import os 15 | import tempfile 16 | from pathlib import Path 17 | import subprocess 18 | import shlex 19 | import time 20 | import signal 21 | import functools 22 | 23 | # Configure logger 24 | logger = logging.getLogger("manus-mcp") 25 | 26 | # Sandbox configuration 27 | SANDBOX_DIR = os.path.expanduser(os.getenv("SANDBOX_DIR", "~/manus-sandbox")) 28 | os.makedirs(SANDBOX_DIR, exist_ok=True) 29 | logger.info(f"Using sandbox directory: {SANDBOX_DIR}") 30 | 31 | # Global timeout for all operations (in seconds) 32 | GLOBAL_TIMEOUT = int(os.getenv("GLOBAL_TIMEOUT", "60")) 33 | 34 | def timeout_handler(signum, frame): 35 | """Handler for timeout signal""" 36 | raise TimeoutError("Operation timed out") 37 | 38 | def with_timeout(func): 39 | """Decorator to add a global timeout to any function""" 40 | @functools.wraps(func) 41 | async def wrapper(*args, **kwargs): 42 | # Set a global timeout using signal 43 | signal.signal(signal.SIGALRM, timeout_handler) 44 | signal.alarm(GLOBAL_TIMEOUT) 45 | 46 | try: 47 | # Run the function with its own timeout 48 | return await func(*args, **kwargs) 49 | except TimeoutError: 50 | logger.error(f"Global timeout ({GLOBAL_TIMEOUT}s) reached in {func.__name__}") 51 | return json.dumps({ 52 | "status": "error", 53 | "message": f"Operation timed out after {GLOBAL_TIMEOUT} seconds (global timeout)" 54 | }) 55 | finally: 56 | # Cancel the alarm 57 | signal.alarm(0) 58 | 59 | return wrapper 60 | 61 | def resolve_sandbox_path(filename: str) -> Path: 62 | """ 63 | Resolve a filename to a path within the sandbox directory. 64 | 65 | Args: 66 | filename: The name of the file within the sandbox. 67 | 68 | Returns: 69 | A Path object pointing to the file within the sandbox. 70 | 71 | Raises: 72 | ValueError: If the filename tries to escape the sandbox. 73 | """ 74 | # Convert to Path object and resolve to absolute path 75 | sandbox_path = Path(SANDBOX_DIR).resolve() 76 | file_path = (sandbox_path / filename).resolve() 77 | 78 | # Check if the resolved path is within the sandbox 79 | if not str(file_path).startswith(str(sandbox_path)): 80 | raise ValueError(f"File path {filename} attempts to escape the sandbox") 81 | 82 | return file_path 83 | 84 | @with_timeout 85 | async def interpreter(action: str, filename: str = None, content: str = None, 86 | language: str = None, timeout: int = 10) -> str: 87 | """ 88 | Read, write, and execute files in a local sandbox environment. 89 | 90 | This tool allows you to create, read, and execute code files in various programming languages 91 | within a secure sandbox environment. 92 | 93 | Args: 94 | action: The action to perform. Options include: 95 | - 'read': Read the contents of a file 96 | - 'write': Write content to a file 97 | - 'execute': Execute a file or code snippet 98 | - 'list': List files in the sandbox 99 | filename: The name of the file to read, write, or execute 100 | content: The content to write to a file or execute directly 101 | language: The programming language for execution (python, javascript, bash, etc.) 102 | timeout: Maximum execution time in seconds (default: 10) 103 | 104 | Returns: 105 | A string with the result of the action 106 | """ 107 | try: 108 | if action == "list": 109 | logger.info("Listing files in sandbox") 110 | sandbox_path = Path(SANDBOX_DIR) 111 | files = [f.name for f in sandbox_path.iterdir() if f.is_file()] 112 | return json.dumps({"files": files}) 113 | 114 | elif action == "read": 115 | if not filename: 116 | return "Error: Filename is required for 'read' action" 117 | 118 | file_path = resolve_sandbox_path(filename) 119 | logger.info(f"Reading file: {file_path}") 120 | 121 | if not file_path.exists(): 122 | return f"Error: File '{filename}' does not exist" 123 | 124 | try: 125 | with open(file_path, "r") as f: 126 | content = f.read() 127 | 128 | return content 129 | except UnicodeDecodeError: 130 | # Handle binary files 131 | return f"Error: File '{filename}' appears to be a binary file and cannot be read as text" 132 | 133 | elif action == "write": 134 | if not filename or content is None: 135 | return "Error: Filename and content are required for 'write' action" 136 | 137 | file_path = resolve_sandbox_path(filename) 138 | logger.info(f"Writing to file: {file_path}") 139 | 140 | # Create parent directories if they don't exist 141 | file_path.parent.mkdir(parents=True, exist_ok=True) 142 | 143 | with open(file_path, "w") as f: 144 | f.write(content) 145 | 146 | return f"Successfully wrote {len(content)} bytes to {filename}" 147 | 148 | elif action == "execute": 149 | if (not filename and not content) or not language: 150 | return "Error: Either filename or content, and language are required for 'execute' action" 151 | 152 | # Determine the command to run based on the language 153 | cmd = None 154 | temp_file = None 155 | 156 | if filename: 157 | file_path = resolve_sandbox_path(filename) 158 | if not file_path.exists(): 159 | return f"Error: File '{filename}' does not exist" 160 | else: 161 | # Create a temporary file with the content 162 | suffix_map = { 163 | "python": ".py", 164 | "javascript": ".js", 165 | "node": ".js", 166 | "bash": ".sh", 167 | "sh": ".sh", 168 | "ruby": ".rb", 169 | "perl": ".pl", 170 | "r": ".r" 171 | } 172 | suffix = suffix_map.get(language.lower(), ".txt") 173 | 174 | temp_file = tempfile.NamedTemporaryFile(suffix=suffix, dir=SANDBOX_DIR, delete=False) 175 | temp_file.write(content.encode()) 176 | temp_file.close() 177 | file_path = Path(temp_file.name) 178 | 179 | # Set up the command based on the language 180 | if language.lower() in ["python", "py"]: 181 | cmd = ["python", str(file_path)] 182 | elif language.lower() in ["javascript", "js", "node"]: 183 | cmd = ["node", str(file_path)] 184 | elif language.lower() in ["bash", "sh"]: 185 | cmd = ["bash", str(file_path)] 186 | elif language.lower() == "ruby": 187 | cmd = ["ruby", str(file_path)] 188 | elif language.lower() == "perl": 189 | cmd = ["perl", str(file_path)] 190 | elif language.lower() == "r": 191 | cmd = ["Rscript", str(file_path)] 192 | else: 193 | if temp_file: 194 | os.unlink(temp_file.name) 195 | return f"Error: Unsupported language '{language}'" 196 | 197 | logger.info(f"Executing command: {' '.join(cmd)}") 198 | 199 | try: 200 | # Run the command with a timeout 201 | process = await asyncio.create_subprocess_exec( 202 | *cmd, 203 | stdout=asyncio.subprocess.PIPE, 204 | stderr=asyncio.subprocess.PIPE, 205 | cwd=SANDBOX_DIR 206 | ) 207 | 208 | try: 209 | stdout, stderr = await asyncio.wait_for(process.communicate(), timeout) 210 | stdout = stdout.decode(errors='replace') 211 | stderr = stderr.decode(errors='replace') 212 | 213 | result = { 214 | "exit_code": process.returncode, 215 | "stdout": stdout, 216 | "stderr": stderr 217 | } 218 | 219 | return json.dumps(result, indent=2) 220 | 221 | except asyncio.TimeoutError: 222 | # Kill the process if it times out 223 | try: 224 | process.kill() 225 | except: 226 | pass 227 | return f"Error: Execution timed out after {timeout} seconds" 228 | 229 | finally: 230 | # Clean up temporary file if created 231 | if temp_file: 232 | try: 233 | os.unlink(temp_file.name) 234 | except: 235 | pass 236 | 237 | else: 238 | return f"Error: Unknown action '{action}'" 239 | 240 | except ValueError as e: 241 | logger.error(f"Sandbox path validation error: {str(e)}") 242 | return f"Error: {str(e)}" 243 | 244 | except Exception as e: 245 | logger.error(f"Interpreter action '{action}' failed: {str(e)}") 246 | return f"Error performing interpreter action: {str(e)}" 247 | 248 | @with_timeout 249 | async def bash_command(command: str, timeout: int = 30, background: bool = False) -> str: 250 | """ 251 | Execute a bash command in the sandbox directory. 252 | 253 | This function allows running shell commands within the sandbox environment, 254 | which is useful for starting web servers, running build processes, or other 255 | shell operations. 256 | 257 | Args: 258 | command: The bash command to execute 259 | timeout: Maximum execution time in seconds (default: 30) 260 | background: Whether to run the command in the background (default: False) 261 | If True, the command will continue running after the function returns 262 | 263 | Returns: 264 | A string with the command output or process information 265 | """ 266 | try: 267 | logger.info(f"Executing bash command: {command}") 268 | 269 | # Validate the command for basic security 270 | if any(unsafe_cmd in command.lower() for unsafe_cmd in [ 271 | "sudo", "su ", "rm -rf /", "> /dev", "< /dev", 272 | "> /proc", "< /proc", "> /sys", "< /sys" 273 | ]): 274 | return "Error: Command contains potentially unsafe operations" 275 | 276 | # Generate a unique log file name for this command 277 | timestamp = int(time.time()) 278 | log_file = os.path.join(SANDBOX_DIR, f"bg_process_{timestamp}.log") 279 | 280 | if background: 281 | # For background processes, we'll use a different approach 282 | # that doesn't rely on nohup which can cause issues 283 | 284 | # Create a shell script that will run our command 285 | script_content = f"""#!/bin/bash 286 | cd {SANDBOX_DIR} 287 | {command} > {log_file} 2>&1 288 | """ 289 | script_file = os.path.join(SANDBOX_DIR, f"run_bg_{timestamp}.sh") 290 | with open(script_file, "w") as f: 291 | f.write(script_content) 292 | 293 | os.chmod(script_file, 0o755) # Make executable 294 | 295 | # Use subprocess directly for better process detachment 296 | process = subprocess.Popen( 297 | ["bash", script_file], 298 | stdout=subprocess.DEVNULL, 299 | stderr=subprocess.DEVNULL, 300 | cwd=SANDBOX_DIR, 301 | start_new_session=True 302 | ) 303 | 304 | # We don't wait for it to complete since it's a background process 305 | return json.dumps({ 306 | "status": "background_process_started", 307 | "pid": process.pid, 308 | "log_file": log_file, 309 | "script_file": script_file, 310 | "message": f"Process started in background with PID {process.pid}. Output is being logged to {log_file}" 311 | }) 312 | else: 313 | # For foreground processes, run normally with a timeout 314 | # Parse the command 315 | cmd_parts = shlex.split(command) 316 | 317 | process = await asyncio.create_subprocess_exec( 318 | *cmd_parts, 319 | stdout=asyncio.subprocess.PIPE, 320 | stderr=asyncio.subprocess.PIPE, 321 | cwd=SANDBOX_DIR 322 | ) 323 | 324 | try: 325 | stdout, stderr = await asyncio.wait_for(process.communicate(), timeout) 326 | stdout = stdout.decode(errors='replace') 327 | stderr = stderr.decode(errors='replace') 328 | 329 | result = { 330 | "exit_code": process.returncode, 331 | "stdout": stdout, 332 | "stderr": stderr 333 | } 334 | 335 | return json.dumps(result, indent=2) 336 | 337 | except asyncio.TimeoutError: 338 | # Kill the process if it times out 339 | try: 340 | process.kill() 341 | except: 342 | pass 343 | return json.dumps({ 344 | "status": "error", 345 | "message": f"Command timed out after {timeout} seconds" 346 | }) 347 | 348 | except Exception as e: 349 | logger.error(f"Bash command execution failed: {str(e)}") 350 | return json.dumps({ 351 | "status": "error", 352 | "message": f"Error executing bash command: {str(e)}" 353 | }) 354 | 355 | 356 | async def execute_python(code: str) -> Dict[str, Any]: 357 | """ 358 | Executes Python code safely in a sandbox. 359 | 360 | Args: 361 | code: The Python code to execute 362 | 363 | Returns: 364 | Dict with execution results, output, and errors 365 | """ 366 | # TODO: Implement Python code execution 367 | raise NotImplementedError("Python code execution is not yet implemented.") 368 | 369 | 370 | async def execute_javascript(code: str) -> Dict[str, Any]: 371 | """ 372 | Executes JavaScript code safely in a sandbox. 373 | 374 | Args: 375 | code: The JavaScript code to execute 376 | 377 | Returns: 378 | Dict with execution results, output, and errors 379 | """ 380 | # TODO: Implement JavaScript code execution 381 | raise NotImplementedError("JavaScript code execution is not yet implemented.") 382 | 383 | 384 | async def execute_shell(command: str) -> Dict[str, Any]: 385 | """ 386 | Executes a shell command safely. 387 | 388 | Args: 389 | command: The shell command to execute 390 | 391 | Returns: 392 | Dict with execution results, output, and errors 393 | """ 394 | # TODO: Implement shell command execution 395 | raise NotImplementedError("Shell command execution is not yet implemented.") -------------------------------------------------------------------------------- /mcp_server.py: -------------------------------------------------------------------------------- 1 | from typing import Any, Dict, List, Optional 2 | import asyncio 3 | import logging 4 | import os 5 | import json 6 | import sys 7 | from dotenv import load_dotenv 8 | from googlesearch import search 9 | from mcp.server import FastMCP 10 | from browser_use import Browser as BrowserUseBrowser 11 | from browser_use import BrowserConfig 12 | from browser_use.browser.context import BrowserContext 13 | from app.code_execution import interpreter, bash_command, SANDBOX_DIR 14 | 15 | # Load environment variables 16 | load_dotenv() 17 | 18 | # Configure logging to write to a file instead of stdout/stderr 19 | log_dir = os.path.expanduser("~/manus-mcp-logs") 20 | os.makedirs(log_dir, exist_ok=True) 21 | log_file = os.path.join(log_dir, "manus-mcp.log") 22 | 23 | logging.basicConfig( 24 | level=getattr(logging, os.getenv("LOG_LEVEL", "INFO")), 25 | format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", 26 | filename=log_file, 27 | filemode="a" 28 | ) 29 | logger = logging.getLogger("manus-mcp") 30 | logger.info("Starting Manus MCP server") 31 | 32 | # Redirect browser-use logging to the same file 33 | browser_logger = logging.getLogger("browser_use") 34 | browser_logger.handlers = [] 35 | browser_logger.addHandler(logging.FileHandler(log_file)) 36 | browser_logger.setLevel(logging.INFO) 37 | 38 | # Redirect other libraries' logging 39 | for lib_logger in ["httpx", "playwright", "asyncio"]: 40 | lib_log = logging.getLogger(lib_logger) 41 | lib_log.handlers = [] 42 | lib_log.addHandler(logging.FileHandler(log_file)) 43 | lib_log.setLevel(logging.WARNING) 44 | 45 | # Google Search configuration 46 | GOOGLE_SEARCH_MAX_RESULTS = int(os.getenv("GOOGLE_SEARCH_MAX_RESULTS", "10")) 47 | 48 | # Browser configuration 49 | BROWSER_HEADLESS = os.getenv("BROWSER_HEADLESS", "false").lower() == "true" 50 | CHROME_INSTANCE_PATH = os.getenv("CHROME_INSTANCE_PATH", None) 51 | 52 | # Log sandbox directory 53 | logger.info(f"Using sandbox directory: {SANDBOX_DIR}") 54 | 55 | # Create the MCP server 56 | mcp = FastMCP("manus-mcp") 57 | 58 | # Note: auto_invoke=True is not supported in MCP 1.4.1 59 | # To automatically invoke a tool at the start of a conversation, 60 | # you would need to implement a custom handler or upgrade to a newer version of MCP 61 | 62 | # Browser instance (will be initialized on first use) 63 | browser = None 64 | browser_context = None 65 | browser_lock = asyncio.Lock() 66 | 67 | # Define the manus_identity tool that will be automatically invoked at the start of each thread 68 | @mcp.tool() 69 | async def manus_identity() -> str: 70 | """ 71 | Provides identity information about Manus, an AI assistant with real-time web capabilities. 72 | This tool is automatically invoked at the start of each new message. 73 | 74 | Returns: 75 | A string describing Manus's identity and capabilities. 76 | """ 77 | logger.info("Invoking manus_identity tool") 78 | return """ 79 | You are an Manus, an expert Planning Agent tasked with solving complex problems by creating and managing structured plans. 80 | Your job is: 81 | 1. Analyze requests to understand the task scope 82 | 2. Create clear, actionable plans with the `planning` tool 83 | 3. Execute steps using available tools as needed 84 | 4. Track progress and adapt plans dynamically 85 | 5. Use `finish` to conclude when the task is complete 86 | 87 | Available tools will vary by task but may include real-time search, browsing, code execution, and more. 88 | 89 | Use the `code_interpreter` tool to save your work, like a scratchpad in Markdown. 90 | 91 | Use the provided code_interpreter and bash_tool, and NOT the artifacts tool. 92 | 93 | Do not use your own knowledge; it is more appropriate to use a tool before answering a question. 94 | 95 | For example, if asked to plan a trip, first use the `google_search` tool to find information about the destination. 96 | 97 | Break tasks into logical, sequential steps. Think about dependencies and verification methods. 98 | 99 | Please make a plan before you start. Prefer to use tools rather than presenting the output in chat. 100 | 101 | DO NOT use the artifacts tool. 102 | """ 103 | 104 | # Define the hello_world tool 105 | @mcp.tool() 106 | async def hello_world(name: str = "World") -> str: 107 | """ 108 | Returns a friendly greeting message. 109 | 110 | Args: 111 | name: The name to greet. Defaults to 'World' if not provided. 112 | """ 113 | logger.info(f"Saying hello to {name}") 114 | return f"Hello, {name}! Welcome to Manus MCP." 115 | 116 | # Define the google_search tool 117 | @mcp.tool() 118 | async def google_search(query: str, num_results: int = None) -> List[str]: 119 | """ 120 | Perform a Google search and return a list of relevant links. 121 | 122 | Use this tool when you need to find information on the web, get up-to-date data, 123 | or research specific topics. The tool returns a list of URLs that match the search query. 124 | The URLs can be viewed in the browser using the `browse_web` tool. 125 | 126 | Args: 127 | query: The search query to submit to Google. 128 | num_results: The number of search results to return. Default is configured in environment. 129 | 130 | Returns: 131 | A list of URLs matching the search query. 132 | """ 133 | if num_results is None: 134 | num_results = GOOGLE_SEARCH_MAX_RESULTS 135 | 136 | logger.info(f"Performing Google search for: {query} (max results: {num_results})") 137 | 138 | # Run the search in a thread pool to prevent blocking 139 | loop = asyncio.get_event_loop() 140 | try: 141 | links = await loop.run_in_executor( 142 | None, 143 | lambda: list(search( 144 | query, 145 | num_results=num_results 146 | )) 147 | ) 148 | logger.info(f"Found {len(links)} results for query: {query}") 149 | return links 150 | except Exception as e: 151 | logger.error(f"Error performing Google search: {e}") 152 | return [f"Error performing search: {str(e)}"] 153 | 154 | # Helper function to ensure browser is initialized 155 | async def ensure_browser_initialized(): 156 | """Ensure browser and context are initialized.""" 157 | global browser, browser_context 158 | 159 | if browser is None: 160 | logger.info(f"Initializing browser (headless: {BROWSER_HEADLESS}, chrome_instance_path: {CHROME_INSTANCE_PATH})...") 161 | browser_config = BrowserConfig( 162 | headless=BROWSER_HEADLESS, 163 | chrome_instance_path=CHROME_INSTANCE_PATH 164 | ) 165 | browser = BrowserUseBrowser(browser_config) 166 | 167 | if browser_context is None: 168 | logger.info("Creating new browser context...") 169 | browser_context = await browser.new_context() 170 | 171 | return browser_context 172 | 173 | # Define the browser tool 174 | @mcp.tool() 175 | async def browse_web(action: str, url: str = None, element_index: int = None, 176 | text: str = None, script: str = None, 177 | scroll_amount: int = None) -> str: 178 | """ 179 | Interact with a web browser to navigate websites and extract information. 180 | 181 | This tool allows you to control a browser to visit websites, click elements, 182 | input text, take screenshots, and more. 183 | 184 | Args: 185 | action: The browser action to perform. Options include: 186 | - 'navigate': Go to a specific URL 187 | - 'click': Click an element by index 188 | - 'input_text': Input text into an element 189 | - 'get_content': Get the page content 190 | - 'execute_js': Execute JavaScript code 191 | - 'scroll': Scroll the page 192 | - 'refresh': Refresh the current page 193 | url: URL for 'navigate' action 194 | element_index: Element index for 'click' or 'input_text' actions 195 | text: Text for 'input_text' action 196 | script: JavaScript code for 'execute_js' action 197 | scroll_amount: Pixels to scroll (positive for down, negative for up) 198 | 199 | Returns: 200 | A string with the result of the action 201 | """ 202 | async with browser_lock: 203 | try: 204 | context = await ensure_browser_initialized() 205 | 206 | if action == "navigate": 207 | if not url: 208 | return "Error: URL is required for 'navigate' action" 209 | logger.info(f"Navigating to URL: {url}") 210 | await context.navigate_to(url) 211 | return f"Successfully navigated to {url}" 212 | 213 | elif action == "click": 214 | if element_index is None: 215 | return "Error: Element index is required for 'click' action" 216 | logger.info(f"Clicking element at index: {element_index}") 217 | element = await context.get_dom_element_by_index(element_index) 218 | if not element: 219 | return f"Error: Element with index {element_index} not found" 220 | download_path = await context._click_element_node(element) 221 | result = f"Clicked element at index {element_index}" 222 | if download_path: 223 | result += f" - Downloaded file to {download_path}" 224 | return result 225 | 226 | elif action == "input_text": 227 | if element_index is None or not text: 228 | return "Error: Element index and text are required for 'input_text' action" 229 | logger.info(f"Inputting text into element at index: {element_index}") 230 | element = await context.get_dom_element_by_index(element_index) 231 | if not element: 232 | return f"Error: Element with index {element_index} not found" 233 | await context._input_text_element_node(element, text) 234 | return f"Input '{text}' into element at index {element_index}" 235 | 236 | elif action == "get_content": 237 | logger.info("Getting page content") 238 | state = await context.get_state() 239 | html = await context.get_page_html() 240 | 241 | # Truncate HTML to avoid overwhelming the response 242 | truncated_html = html[:5000] + "..." if len(html) > 5000 else html 243 | 244 | # Get clickable elements 245 | clickable_elements = state.element_tree.clickable_elements_to_string() 246 | 247 | result = { 248 | "url": state.url, 249 | "title": state.title, 250 | "content": truncated_html, 251 | "clickable_elements": clickable_elements 252 | } 253 | 254 | return json.dumps(result, indent=2) 255 | 256 | elif action == "execute_js": 257 | if not script: 258 | return "Error: Script is required for 'execute_js' action" 259 | logger.info(f"Executing JavaScript: {script}") 260 | result = await context.execute_javascript(script) 261 | return f"JavaScript execution result: {result}" 262 | 263 | elif action == "scroll": 264 | if scroll_amount is None: 265 | return "Error: Scroll amount is required for 'scroll' action" 266 | logger.info(f"Scrolling page by {scroll_amount} pixels") 267 | await context.execute_javascript(f"window.scrollBy(0, {scroll_amount});") 268 | direction = "down" if scroll_amount > 0 else "up" 269 | return f"Scrolled {direction} by {abs(scroll_amount)} pixels" 270 | 271 | elif action == "refresh": 272 | logger.info("Refreshing page") 273 | await context.refresh_page() 274 | return "Page refreshed" 275 | 276 | else: 277 | return f"Error: Unknown action '{action}'" 278 | 279 | except Exception as e: 280 | logger.error(f"Browser action '{action}' failed: {str(e)}") 281 | return f"Error performing browser action: {str(e)}" 282 | 283 | # Define the interpreter tool (imported from app.code_execution) 284 | @mcp.tool() 285 | async def code_interpreter(action: str, filename: str = None, content: str = None, 286 | language: str = None, timeout: int = 10) -> str: 287 | """ 288 | Read, write, and execute files in a local sandbox environment. 289 | 290 | This tool allows you to create, read, and execute code files in various programming languages 291 | within a secure sandbox environment. 292 | 293 | Keep all files and edits under 500 lines of code to avoid violating output length limits. 294 | 295 | All operations have a global timeout to prevent the tool from getting stuck. 296 | If you encounter timeout issues, try breaking your task into smaller steps. 297 | 298 | Args: 299 | action: The action to perform. Options include: 300 | - 'read': Read the contents of a file 301 | - 'write': Write content to a file 302 | - 'execute': Execute a file or code snippet 303 | - 'list': List files in the sandbox 304 | filename: The name of the file to read, write, or execute 305 | content: The content to write to a file or execute directly 306 | language: The programming language for execution (python, javascript, bash, etc.) 307 | timeout: Maximum execution time in seconds (default: 10) 308 | 309 | Returns: 310 | A string with the result of the action 311 | """ 312 | return await interpreter(action, filename, content, language, timeout) 313 | 314 | # Define the bash tool (imported from app.code_execution) 315 | @mcp.tool() 316 | async def bash_tool(command: str, timeout: int = 30, background: bool = False) -> str: 317 | """ 318 | Execute a bash command in the sandbox directory. 319 | 320 | This tool allows running shell commands within the sandbox environment, 321 | which is useful for starting web servers, running build processes, or other 322 | shell operations. Commands are executed in the same sandbox directory as the code_interpreter. 323 | 324 | All operations have a global timeout to prevent the tool from getting stuck. 325 | If you encounter timeout issues, try breaking your task into smaller steps. 326 | 327 | For web servers and long-running processes: 328 | 1. Set background=True to run the process in the background 329 | 2. The process will continue running even after the command returns 330 | 3. Output will be logged to a file in the sandbox directory 331 | 4. You can check the log file using code_interpreter with action="read" 332 | 5. To stop a background process, use the 'kill' command with the PID 333 | 334 | Examples: 335 | - Start a Python web server: `bash_tool("python -m http.server 8000", background=True)` 336 | - Run a Node.js app: `bash_tool("node app.js", background=True)` 337 | - Check running processes: `bash_tool("ps aux | grep python")` 338 | - List files: `bash_tool("ls -la")` 339 | - Install packages: `bash_tool("pip install flask")` 340 | - Check a log file: Use `code_interpreter(action="read", filename="bg_process_123456789.log")` 341 | - Kill a process: `bash_tool("kill 1234")` where 1234 is the PID 342 | 343 | Args: 344 | command: The bash command to execute 345 | timeout: Maximum execution time in seconds (default: 30, only applies to foreground processes) 346 | background: Whether to run the command in the background (default: False) 347 | Set to True for long-running processes like web servers 348 | 349 | Returns: 350 | A string with the command output or process information 351 | """ 352 | 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