Puch AI Tools Starter
Provides a starter template for building custom Model Context Protocol (MCP) servers to extend AI assistant capabilities with external tools and data sources.
About
This project offers a comprehensive starter template for developing Model Context Protocol (MCP) servers, enabling AI assistants like Puch to securely integrate with external tools and data sources. It includes ready-to-use examples for common functionalities such as text and image processing, alongside robust demonstrations of authentication methods like Bearer tokens, Google OAuth, and GitHub OAuth, making it easier for developers to build and deploy custom AI extensions while ensuring secure and scoped data handling.
Key Features
- Starter template for creating Model Context Protocol (MCP) servers for Puch AI.
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- Includes ready-to-use example tools for text and image processing.
- Provides examples for Bearer token authentication (Puch AI required).
- Demonstrates OAuth implementations with Google and GitHub.
- Shows how to use `puch_user_id` for per-user data scoping.
Use Cases
- Manage user-specific data and tasks within AI-driven applications.
- Implement secure authentication mechanisms for AI-powered services.
- Develop custom tools and integrations for AI assistants.