Mem0 MCP Server

# Pydantic AI Demo This directory contains a Pydantic AI agent to interactively test the Mem0 MCP server. ## Quick Start ```bash # Install the package pip install mem0-mcp-server # Or with uv uv pip install mem0-mcp-server # Set your API keys export MEM0_API_KEY="m0-..." export OPENAI_API_KEY="sk-openai_..." # Run the REPL python example/pydantic_ai_repl.py ``` ## Using Different Server Configurations ### Local Server (default) ```bash python example/pydantic_ai_repl.py ``` ### Docker Container ```bash # Start Docker container docker run --rm -d \ --name mem0-mcp \ -e MEM0_API_KEY="m0-..." \ -p 8080:8081 \ mem0-mcp-server # Run agent pointing to Docker export MEM0_MCP_CONFIG_PATH=example/docker-config.json export MEM0_MCP_CONFIG_SERVER=mem0-docker python example/pydantic_ai_repl.py ``` ### Smithery Remote Server ```bash export MEM0_MCP_CONFIG_PATH=example/config-smithery.json export MEM0_MCP_CONFIG_SERVER=mem0-memory-mcp python example/pydantic_ai_repl.py ``` ## What Happens 1. The script loads the configuration from `example/config.json` by default 2. Starts or connects to the Mem0 MCP server 3. A Pydantic AI agent (Mem0Guide) connects to the server 4. You get an interactive REPL to test memory operations ## Example Prompts - "Remember that I love tiramisu" - "Search for my food preferences" - "Update my project: the mobile app is now 80% complete" - "Show me all memories about project Phoenix" - "Delete memories from 2023" ## Config Files - `config.json` - Local server (default) - `docker-config.json` - Connect to Docker container on port 8080 - `config-smithery.json` - Connect to Smithery remote server You can create custom configs by copying and modifying these files.