"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
Mcp Local Rag scores 33 (Limited), licensed MIT and written in Python. It installs as a local process. It does not declare tools yet. Filed under AI and memory, Search. GitHub shows 134 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
"primitive" RAG-like web search model context protocol (MCP) server that runs locally using Google's MediaPipe Text Embedder and DuckDuckGo Search. ✨ no APIs required ✨.
FAQ
?What is Mcp Local Rag?
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
?How do I install Mcp Local Rag?
Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
?Is Mcp Local Rag official?
No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
?How is the trust score calculated?
This listing scores 33 (Limited). The formula is published on the methodology page.
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