rag-mcp for LangChain
io.github.masihmoafi/rag-mcp
Scoped hybrid search (BM25, embeddings, reranking) and grounded answers over local files and folders
client:LangChain
transport:stdio
runtime:pypi
Install rag-mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"rag-mcp": {
"transport": "stdio",
"command": "uvx",
"args": ["ragmcp-cli"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs