Test Server
Demonstrates basic Model Context Protocol (MCP) functionality, including tool calls and resource access with robust Zod validation, for learning how to build AI model interactions.
About
Explore the foundational concepts of Model Context Protocol (MCP) with this learning-focused server. It provides a standardized framework for AI models, like Cursor, to seamlessly interact with external tools and data resources through JSON-RPC 2.0 over stdio. This server serves as an excellent starting point for developers to understand tool calling, resource reading, and structured response generation, all while showcasing best practices such as Zod validation for robust input handling and clear error reporting.
Key Features
- Zod Validation for tool inputs
- Clear error handling for invalid requests
- Standard JSON-RPC 2.0 communication
- Type safety with TypeScript/JavaScript schemas
- Examples for text and JSON resource management
- 0 GitHub stars
Use Cases
- Learn to build custom Model Context Protocol (MCP) tools for AI models
- Integrate bespoke tool functionalities and data resources with AI assistants like Cursor
- Test and validate MCP server implementations using a provided client and standard communication protocols
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