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mcp/harbor
LangChain

ai context for LangChain

com.vibgrate/ai-context

Local-first MCP server: version-correct library docs, code map, and offline drift for your repo.

client:LangChain transport:stdio runtime:npm

Install ai context in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "ai-context": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "@vibgrate/cli"],
        }
})

tools = await client.get_tools()

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

ai context in other clients

ai context MCP server