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mcp/harbor
LangChain

md-feedback for LangChain

io.github.yeominux/md-feedback

Review markdown plans before AI agents build. Annotate, gate-check, apply fixes, session handoffs.

client:LangChain transport:stdio runtime:npm

Install md-feedback in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "md-feedback": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "md-feedback"],
        }
})

tools = await client.get_tools()

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

md-feedback in other clients

md-feedback MCP server