Memvid
About
Encodes text data into videos that can be quickly looked up with semantic search.
Details
- Author
- ferrants
- Categories
- Search, Other
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Setup
Install Memvid in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/ferrants/memvid-mcp-server
Follow the installation instructions in the repository README, then restart your MCP client.
A Streamable-HTTP MCP Server that usesmemvidto encode text data into videos that can be quickly looked up with semantic search.
- 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.
python3.11 -m venv my_env . ./my_env/bin/activate pip install -r requirements.txt
You can connect a client to your MCP Server once it's running. Configure per the client's configuration. There is themcp-config.jsonthat has an example configuration that looks like this:
{ "mcpServers": { "memvid": { "type": "streamable-http", "url": "http://localhost:3000" } } }
- Obviously the modelcontextprotocol and Anthropic teams for the MCP Specification.https://modelcontextprotocol.io/introduction
- HeyFerrantefor enabling and sponsoring this project.
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