Automation & SDK•Python & TS SDK Compatible•langchain.md

LangChain & LangGraph MCP Adapter

Bind VoiceFleet's MCP tools into LangChain and LangGraph multi-agent pipelines.

voicefleet_langchain.pyPYTHON
import requests

resp = requests.post(
    "https://voicefleet.ai/api/mcp",
    json={
        "jsonrpc": "2.0",
        "id": 1,
        "method": "tools/call",
        "params": {
            "name": "voicefleet_check_call_readiness_score",
            "arguments": {
                "industry": "dental",
                "hasCalendarIntegration": True,
                "hasAfterHoursCoverage": True,
                "hasUrgentEscalationRules": True
            }
        }
    }
)
print(resp.json())

How to Connect LangChain to VoiceFleet

  1. 1

    Connect via MultiServerMCPClient or HTTP POST

    Point your LangChain MCP client at https://voicefleet.ai/api/mcp.

Example Prompts for LangChain

Try these natural-language prompts immediately after adding the MCP server:

  • “Run batch Call Readiness audits for clinic leads and generate Verified by VoiceFleet badges.”

LangChain MCP Integration FAQ

What protocol version does the endpoint use?

Standard JSON-RPC 2.0 Model Context Protocol (2025-03-26 / 2024-11-05 compatible).

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