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ai·rete·rag for LangChain

com.ai-rete-rag/ai-rete-rag-mcp

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

client:LangChain transport:streamable-http runtime:pypi tools:8

Install ai·rete·rag in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "ai-rete-rag-mcp": {
            "transport": "streamable_http",
            "url": "https://ai-rete-rag.com/mcp",
        }
})

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

ai·rete·rag in other clients