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mcp/harbor
LangChain

Synchronex for LangChain

ai.synchronex/mcp-proxy

Connect any AI agent to your Synchronex workspace — portable memory, decisions, and workers.

client:LangChain transport:stdio runtime:npm

Install Synchronex in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "mcp-proxy": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "@synchronex/mcp-proxy"],
        }
})

tools = await client.get_tools()

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

Synchronex in other clients

Synchronex MCP server