swarms/docs/examples/multi_mcp_execution.md

Multi MCP Execution Example

This example demonstrates using a list of MCP servers with an Agent.

Start the example servers in separate terminals:

python examples/tools/mcp_examples/servers/weather_server.py
python examples/tools/mcp_examples/servers/news_server.py

import os
import json
from swarms import Agent

# Configure multiple MCP URLs
os.environ["MCP_URLS"] = "http://localhost:8000/sse,http://localhost:9001/sse"

agent = Agent(
    agent_name="Multi-MCP-Agent",
    model_name="gpt-4o-mini",
    max_loops=1,
)

# Example JSON payloads produced by your model
response = json.dumps([
    {"function_name": "get_weather", "server_url": "http://localhost:8000/sse", "payload": {"city": "London"}},
    {"function_name": "get_news", "server_url": "http://localhost:9001/sse", "payload": {"topic": "ai"}},
])

agent.handle_multiple_mcp_tools(agent.mcp_urls, response)