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mcp/harbor
LangChain

Social → Context for LangChain

io.github.mcp-dir/socialdl-mcp

Turn a TikTok/Instagram/YouTube link into text for your AI: metadata, transcript and image OCR.

client:LangChain transport:streamable-http tools:9

Install Social → Context in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "socialdl-mcp": {
            "transport": "streamable_http",
            "url": "https://api.mcp.ai/p_socialdl",
        }
})

tools = await client.get_tools()

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

What LangChain can do once it is connected

Social → Context in other clients

Social → Context MCP server