Code-Graph-RAG for LangChain
io.github.vitali87/code-graph-rag
Knowledge-graph RAG for multi-language codebases: index, query and edit code in natural language.
client:LangChain
transport:stdio
runtime:pypi
Install Code-Graph-RAG in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"code-graph-rag": {
"transport": "stdio",
"command": "uvx",
"args": ["code-graph-rag"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs