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mcp/harbor
LangChain

vgraph mcp for LangChain

com.vithanco/vgraph-mcp

Concept Maps, IBIS, Causal Loop Diagrams and Timelines as images. Runs locally via WebAssembly.

client:LangChain transport:streamable-http runtime:npm

Install vgraph mcp in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "vgraph-mcp": {
            "transport": "streamable_http",
            "url": "https://mcp.vithanco.com/mcp",
        }
})

tools = await client.get_tools()

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

vgraph mcp in other clients

vgraph mcp MCP server