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conductor graph mcp for LangChain

io.github.base76-research-lab/conductor-graph-mcp

Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.

client:LangChain transport:stdio runtime:pypi

Install conductor graph mcp in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "conductor-graph-mcp": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["conductor-graph-mcp"],
        }
})

tools = await client.get_tools()

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

conductor graph mcp in other clients