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SETUP.md4.16 kB
# Setup Guide for memU MCP Server This guide will help you set up and configure the memU MCP Server. ## Prerequisites - Python 3.8 or higher - memU API key (sign up at https://app.memu.so/) - Git (for cloning the repository) ## Installation ### 1. Clone the Repository ```bash git clone <repository-url> cd memu-mcp-server ``` ### 2. Create Virtual Environment ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` ### 3. Install Dependencies ```bash pip install -r requirements.txt ``` ### 4. Install in Development Mode (Optional) ```bash pip install -e . ``` ## Configuration ### Environment Variables Create a `.env` file in the project root: ```bash cp .env.example .env ``` Edit the `.env` file with your settings: ```env # Required MEMU_API_KEY=your_memu_api_key_here # Optional (defaults shown) MEMU_BASE_URL=https://api.memu.so MCP_SERVER_NAME=memu-mcp-server MCP_SERVER_VERSION=0.1.0 LOG_LEVEL=INFO DEFAULT_USER_ID=default_user DEFAULT_AGENT_ID=default_agent MAX_CONVERSATION_LENGTH=8000 MEMORY_RETENTION_DAYS=30 RATE_LIMIT_PER_MINUTE=60 RATE_LIMIT_PER_HOUR=1000 ALLOWED_ORIGINS=* API_TIMEOUT=30 ``` ### Configuration File (Alternative) You can also use a JSON configuration file: ```bash cp config/example.json config/local.json ``` Edit `config/local.json` with your settings. ### Getting a memU API Key 1. Go to https://app.memu.so/ 2. Sign up for an account 3. Navigate to API Keys section 4. Generate a new API key 5. Copy the key to your configuration ## Running the Server ### Basic Usage ```bash python -m memu_mcp_server.main ``` ### With Custom Configuration ```bash python -m memu_mcp_server.main --config config/local.json ``` ### With Custom Log Level ```bash python -m memu_mcp_server.main --log-level DEBUG ``` ### As Installed Package If you installed with `pip install -e .`: ```bash memu-mcp-server ``` ## MCP Client Integration ### Claude Desktop Integration Add the server to your Claude Desktop configuration: ```json { "mcpServers": { "memu-memory": { "command": "python", "args": ["-m", "memu_mcp_server.main"], "env": { "MEMU_API_KEY": "your_api_key_here" } } } } ``` ### Other MCP Clients The server implements the standard MCP protocol and should work with any compliant client. ## Verification ### Test the Installation ```bash # Run with debug logging to see detailed output python -m memu_mcp_server.main --log-level DEBUG ``` ### Check Tool Availability When connected to an MCP client, you should see these tools available: - memorize_conversation - retrieve_memory - search_memory - manage_memory - get_memory_stats ## Troubleshooting ### Common Issues 1. **"MEMU_API_KEY not found"** - Ensure your API key is set in `.env` or configuration file - Check that the file is in the correct location 2. **"Connection failed"** - Verify your API key is valid - Check network connectivity - Ensure memU service is accessible 3. **"Module not found"** - Make sure you've activated the virtual environment - Install dependencies with `pip install -r requirements.txt` ### Debug Mode Run with debug logging for detailed information: ```bash python -m memu_mcp_server.main --log-level DEBUG ``` ### Log Files Logs are output to stderr and can be redirected: ```bash python -m memu_mcp_server.main 2> server.log ``` ## Security Considerations - Keep your memU API key secure - Don't commit API keys to version control - Use environment variables or secure configuration management - Consider network security when deploying ## Performance Tuning ### Memory Usage - Adjust `MAX_CONVERSATION_LENGTH` based on your needs - Monitor memory usage with longer conversations ### Rate Limiting - Adjust rate limits based on your memU plan - Monitor API usage to avoid hitting limits ### Logging - Use `INFO` level for production - Use `DEBUG` only for development ## Next Steps - Read the [API Documentation](API.md) for detailed tool usage - Check out [examples](../examples/) for integration samples - Review [troubleshooting](TROUBLESHOOTING.md) for common issues

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