memvid-mcp-server
A Streamable-HTTP MCP Server that uses memvid to encode text data into videos that can be quickly looked up with semantic search.
Supported Actions:
add_chunks: Adds chunks to the memory video. Note: each time you add chunks, it resets the memory.mp4. Unsure if there is a way to incrementally add.search: queries for the top-matching chunks. Returns 5 by default, but can be changed with top_k param.
Running
Set up your environment: ``bash python3.11 -m venv my_env . ./my_env/bin/activate pip install -r requirements.txt ``
Run the server: ``bash python server.py ``
With a custom port:
PORT=3002 python server.pyConnect a Client
You can connect a client to your MCP Server once it's running. Configure per the client's configuration. There is the mcp-config.json that has an example configuration that looks like this: ``json { "mcpServers": { "memvid": { "type": "streamable-http", "url": "http://localhost:3000" } } } ``
Acknowledgements
- Obviously the modelcontextprotocol and Anthropic teams for the MCP Specification. https://modelcontextprotocol.io/introduction
- HeyFerrante for enabling and sponsoring this project.
