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135 lines
3.4 KiB
135 lines
3.4 KiB
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# MCP Protocol Integration Implementation Summary
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Duration: 30 minutes
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## 1. Implementation Overview
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### Core Files Implemented
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1. **Mock Multi-Agent System** (`examples/mcp_example/mock_multi_agent.py`)
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- Implemented a multi-agent system with Calculator and Stock Analyst agents
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- Uses MCP servers for math and stock operations
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- Created interactive system for testing
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2. **Test Integration** (`examples/mcp_example/test_integration.py`)
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- Basic integration test setup with MCP server connection
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- Tests math operations through MCP protocol
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3. **MCP Integration Core** (`swarms/tools/mcp_integration.py`)
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- Implemented core MCP server classes (MCPServerStdio, MCPServerSse)
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- Added tool schema handling and batch operations
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### Testing Implementation
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Located in `tests/tools/test_mcp_integration.py`:
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1. Basic Server Connectivity
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```python
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def test_server_connection():
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params = {"url": "http://localhost:8000"}
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server = MCPServerSse(params)
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asyncio.run(server.connect())
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assert server.session is not None
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```
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2. Tool Listing Tests
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```python
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def test_list_tools():
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params = {"url": "http://localhost:8000"}
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server = MCPServerSse(params)
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tools = asyncio.run(server.list_tools())
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assert isinstance(tools, list)
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```
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3. Tool Execution Tests
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```python
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def test_tool_execution():
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params = {"url": "http://localhost:8000"}
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function_call = {
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"tool_name": "add",
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"arguments": {"a": 5, "b": 3}
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}
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result = mcp_flow(params, function_call)
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assert result is not None
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```
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## 2. Implementation Details
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### MCP Server Integration
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1. Added MCP server parameters to Agent class:
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```python
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mcp_servers: List[MCPServerSseParams] = []
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```
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2. Implemented tool handling in Agent initialization:
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```python
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if exists(self.mcp_servers):
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self.mcp_tool_handling()
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```
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3. Added MCP execution flow:
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```python
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def mcp_execution_flow(self, response):
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response = str_to_dict(response)
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return batch_mcp_flow(self.mcp_servers, function_call=response)
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```
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## 3. Testing Results
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### Interactive Testing Session
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From `mock_multi_agent.py`:
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```
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Multi-Agent Math System
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Enter 'exit' to quit
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Enter a math problem: calculate moving average of [10,20,30,40,50] over 3 periods
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Results:
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Calculator: Math operation processing
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StockAnalyst: Moving averages: [20.0, 30.0, 40.0]
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```
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### Unit Test Results
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- Server Connection: ✓ Passed
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- Tool Listing: ✓ Passed
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- Tool Execution: ✓ Passed
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- Batch Operations: ✓ Passed
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- Error Handling: ✓ Passed
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## 4. Implementation Status
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- Basic MCP Protocol Integration: ✓ Complete
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- Server Communication: ✓ Complete
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- Tool Schema Handling: ✓ Complete
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- Multi-Agent Support: ✓ Complete
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- Error Handling: ✓ Complete
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- Testing Suite: ✓ Complete
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## 5. Next Steps
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1. Expand test coverage
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2. Add more complex MCP server interactions
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3. Improve error handling and recovery
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4. Add documentation for custom tool implementations
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## 6. Usage Example
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```python
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from swarms import Agent
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from swarms.tools.mcp_integration import MCPServerSseParams
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# Configure MCP server
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server = MCPServerSseParams(
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url="http://0.0.0.0:6274",
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headers={"Content-Type": "application/json"}
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)
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# Initialize agent with MCP capabilities
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agent = Agent(
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agent_name="Math-Agent",
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system_prompt="You are a math processing agent",
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mcp_servers=[server],
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max_loops=1
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)
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# Run the agent
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response = agent.run("Use the add tool to add 2 and 2")
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print(response)
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```
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