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mcp/harbor
LangChain

coret.id for LangChain

io.github.rama-digital/coret

Create, read, update, illustrate, export, and share live mind maps in coret.id.

client:LangChain transport:streamable-http

Install coret.id in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "coret": {
            "transport": "streamable_http",
            "url": "https://mcp.coret.id/mcp",
        }
})

tools = await client.get_tools()

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

coret.id in other clients

coret.id MCP server