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mcp/harbor
LangChain

GRC Lake for LangChain

io.github.koda-ai-studio/grc-lake

Read-only connectors; local writes. Evidence and assessments for agents. Only people approve.

client:LangChain transport:stdio runtime:pypi

Install GRC Lake in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

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

tools = await client.get_tools()

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

GRC Lake in other clients

GRC Lake MCP server