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LangChain

Entity Enricher for LangChain

ai.entityenricher/enricher

Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.

client:LangChain transport:streamable-http

Install Entity Enricher in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "enricher": {
            "transport": "streamable_http",
            "url": "https://entityenricher.ai/api/mcp/",
        }
})

tools = await client.get_tools()

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

Entity Enricher in other clients