- Fixed `math_server.py` to support clean server initialization
- Updated `multi_server_test.py` to validate single agent interactions with multiple MCP servers
- Fixed port configuration in `math_server.py` to ensure proper server startup
- Updated response handling in `multi_server_test.py` to resolve missing outputs during testing
- Adjusted `math_server.py` and `calc_server.py` to support many-to-many agent-server interactions
- Resolved config inconsistencies causing agents to fail output delivery
- Ensured each agent can access appropriate tools from multiple MCP servers
- Resolved broken or missing import statements in `math_server.py` and `calc_server.py`
- Updated server initialization to ensure proper startup and output delivery
- Corrected initialization issues in `math_server.py` and `calc_server.py`
- Improved response formatting and delivery in `multi_server_test.py`
- Resolved issue where agent output showed raw stream wrapper instead of actual response
- Created proper MCP-compatible `math_server.py`
- Set up `test_integration.py` with multi-agent system structure
- Updated `.replit` config for seamless client-server testing
- Updated `math_server.py` and `test_integration.py` to explicitly use 'gpt-4o-mini'
- Ensures consistent model configuration across test and runtime environments
- Enhanced `math_server.py` to handle invalid tool requests and unknown inputs gracefully
- Updated `test_integration.py` to include edge case scenarios for validation
- Ensured agents dynamically discover available tools and respond accordingly
Pavan Kumar