Elevator pitch

Build your own Model Context Protocol server to extend AI capabilities with custom tools and data sources.

Industry

AI Infrastructure & Developer Tools

Problem

• AI models lack access to proprietary data and custom business logic.
• Integrating external tools requires repetitive, fragmented implementations.

Solution

• Create a reusable MCP server that standardizes tool exposure to Claude and other AI clients.
• Connect any data source or API once; use it everywhere AI runs.

Tools

• schema-validator: Validates MCP tool definitions against protocol spec (JSON schema → validation report)
• context-injector: Injects system prompts and tool metadata into conversation context (config → enriched context)
• transport-adapter: Bridges stdio, SSE, or custom transports (protocol type → connection handler)

Widgets

• /dashboard: Real-time tool registry and request/response logging interface

Conversation starters

• "How do I expose my database as an MCP tool?"
• "What's the best way to handle authentication in my custom MCP server?"