mcp-registry/mem0-mcp

    ==================
      
       /// MCP ///
      /// MEM ///
        
    ==================
        
    [server:online]
    [protocol:ready]

mem0-mcp

by mem0ai

MCP Server that integrates with mem0.ai to store, retrieve and semantically-search coding preferences via an SSE endpoint.

406
85
Specialized
GitHub

01

add_coding_preference

Store code snippets, implementation details, and coding patterns with full contextual information (dependencies, versions, setup, docs, examples, best practices).

02

get_all_coding_preferences

Retrieve the complete collection of stored coding preferences for review and analysis.

03

search_coding_preferences

Semantically search stored coding preferences to locate relevant implementations, solutions, best practices, and documentation.

Installation

1. Clone the repository
git clone https://github.com/mem0ai/mem0-mcp.git cd mem0-mcp
2. Create and activate a virtual environment (recommended)
python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate
3. Install Python dependencies
pip install -r requirements.txt # If a requirements file exists # or, if the project uses Poetry # poetry install
4. Configure environment variables (typical MCP servers)
export OPENAI_API_KEY="<your-openai-key>" export MCP_PORT=8080 # change as needed # Add any other provider keys mentioned in the project docs
5. Start the server in development mode
python -m mem0_mcp.server # or the main entry-point specified in README # Alternatively, if the project supplies a CLI script: # mem0-mcp run --port 8080
6. Verify it is running by visiting
http://localhost:8080/health or the default status endpoint.
7. (Optional) Run tests
pytest # if a tests directory exists
8. Deploy
docker build -t mem0-mcp . # if a Dockerfile exists docker run -p 8080:8080 -e OPENAI_API_KEY=... mem0-mcp

Documentation

License: No license file detected (proprietary / unspecified)
Updated 7/30/2025

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