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mcp/harbor
LangChain

feedback magic for LangChain

com.feedback-magic/feedback-magic

Create Feedback Magic widgets — feedback, surveys, changelog, roadmap — from your AI editor.

client:LangChain transport:stdio runtime:npm

Install feedback magic in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

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

tools = await client.get_tools()

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

feedback magic in other clients

feedback magic MCP server