mcp-server-enhancement

What problem does it solve?

Extending an AI server with new tools is complex, risky (stdio safety, protocol compliance), and requires careful error handling and testing. This skill provides a structured, safe guide to integrate new capabilities into the AI Counsel server without compromising stability.

Core Features & Use Cases

• Protocol-Compliant Tooling: Add new tools that adhere to the Model Context Protocol (MCP) specification, ensuring seamless communication.
• Stdio Safety: Implement new tools with strict stdio safety, preventing stdout contamination that could crash the server.
• Type-Safe Development: Utilize Pydantic models for robust request and response validation, enhancing reliability.
• Use Case: You need to add a custom data retrieval tool to your AI Counsel server. This skill guides you through defining its schema, implementing its logic, and ensuring it integrates seamlessly and safely, complete with error handling and testing.

Quick Start

Guide me through adding a new MCP tool named 'data_fetcher' to the AI Counsel server. I need to define its Pydantic models and ensure stdio safety.