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swarms/examples/mcp_example
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Pavan Kumar f07ca75418
fix: refine MCP server configuration for multi-agent multi-server routing 		5 days ago
..
README.md docs: add README for MCP integration and implementation summary 5 days ago
agent_mcp_test.py various bug fixes and removed mcp and other optimizations 1 week ago
calc_server.py fix: refine MCP server configuration for multi-agent multi-server routing 5 days ago
math_server.py fix: refine MCP server configuration for multi-agent multi-server routing 5 days ago
mcp_test.py various bug fixes and removed mcp and other optimizations 1 week ago
multi_server_test.py fix: resolve MCP server response handling and LiteLLM output issues 5 days ago
test_integration.py fix: enhance MCP integration with robust error handling and task coverage 5 days ago

README.md

MCP Integration Documentation

Overview

This implementation connects an agent with a Math Server using the Model Context Protocol (MCP). The system consists of:

  1. Math Server (math_server.py) - Handles mathematical calculations
  2. Test Integration (test_integration.py) - Client that connects to the math server

Key Components

Math Agent Setup

math_server = MCPServerSseParams(
    url="http://0.0.0.0:6274",
    headers={"Content-Type": "application/json"},
)

math_agent = Agent(
    agent_name="Math-Agent",
    system_prompt="You are a math assistant. Process mathematical operations.",
    max_loops=1,
    mcp_servers=[math_server]
)

Task Flow

  1. User inputs a math operation
  2. Math agent processes the request
  3. Request is sent to math server via MCP
  4. Result is returned through the agent

Testing

Run the integration test:

python examples/mcp_example/math_server.py  # Start server
python examples/mcp_example/test_integration.py  # Run client

Implementation Notes

  • Server runs on port 6274
  • Uses SSE (Server-Sent Events) for transport
  • Handles basic math operations (add, subtract, multiply, divide)