Uma
A local RAG context optimizer MCP server that filters retrieved context to the minimum an LLM needs to answer correctly, using a cross-encoder and optional calibration.
Knowledge & Memory (RAG)
0 platforms
0 features
Install
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
No configuration sample provided; see the repository.
Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.
Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.
