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mcp/harbor
LangChain

RLM Tools for LangChain

io.github.stefanoshea/rlm-tools

Persistent Python sandbox for token-efficient codebase exploration in MCP clients

client:LangChain transport:stdio runtime:pypi

Install RLM Tools in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "rlm-tools": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["rlm-tools"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

RLM Tools in other clients

RLM Tools MCP server