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mcp/harbor
LangChain

Feason Context for LangChain

io.github.feason-com/context

Christian source evidence for AI agents, with provenance, tradition coverage, and citation checks.

client:LangChain transport:streamable-http

Install Feason Context in LangChain

pip install langchain-mcp-adapters 

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "context": {
            "transport": "streamable_http",
            "url": "https://www.feason.com/api/mcp",
        }
})

tools = await client.get_tools()

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

Feason Context in other clients

Feason Context MCP server