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AutoGen

Connect a Microsoft AutoGen agent to Leadovaro using mcp_server_tools with Streamable HTTP transport and the native Anthropic model client.

Prerequisites​

  • Python 3.11+
  • A Leadovaro account at app.leadovaro.com with a configured toolkit
  • A Leadovaro token and an Anthropic API key

Installation​

pip install "autogen-agentchat" "autogen-ext[mcp,anthropic]" python-dotenv

Environment Variables​

LEADOVARO_URL=/_sites/app.leadovaro.com/hub/mcp?profile=your-toolkit
LEADOVARO_TOKEN=your-leadovaro-token
ANTHROPIC_API_KEY=your-anthropic-key
Get Your Credentials

How to generate a Leadovaro token and configure toolkit URL parameters

Connecting to Leadovaro​

Use mcp_server_tools to discover and load all Leadovaro tools, then pass them to an AssistantAgent:

import os
import asyncio
from dotenv import load_dotenv
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.ui import Console
from autogen_agentchat.conditions import TextMentionTermination
from autogen_agentchat.teams import RoundRobinGroupChat
from autogen_ext.tools.mcp import mcp_server_tools, StreamableHttpServerParams
from autogen_ext.models.anthropic import AnthropicChatCompletionClient

load_dotenv()

async def main():
    server_params = StreamableHttpServerParams(
        url=os.environ["LEADOVARO_URL"],
        headers={"Authorization": f"Bearer {os.environ['LEADOVARO_TOKEN']}"},
    )
    tools = await mcp_server_tools(server_params)
    print(f"{len(tools)} tools loaded")

    model_client = AnthropicChatCompletionClient(model="claude-sonnet-4-6")

    agent = AssistantAgent(
        name="leadovaro_assistant",
        model_client=model_client,
        tools=tools,
        system_message="You are a helpful assistant with access to Leadovaro tools.",
    )

    response = await agent.run(task="What events do I have today?")
    print(response.messages[-1].content)

asyncio.run(main())
note

Use mcp_server_tools(server_params) — not StreamableHttpMcpToolAdapter. The adapter requires a tool argument that is not available during initialization.

Production Configuration​

For production agents, lock to a specific toolkit using the profile URL parameter:

LEADOVARO_URL=/_sites/app.leadovaro.com/hub/mcp?profile=your-production-toolkit

Reference Implementation​

autogen-reference-implementation-leadovaro

Complete implementation with FastAPI chat UI and deployment guide

Next Steps​

Agent Deployment

Production deployment guide: profile locking, URL params, authentication

Guardrails

Constrain what tools your agent can call

Audit Trail

Query what your agent did via Leadovaro Chat

Get Credentials

Token generation and URL parameter reference