Starter
Empowers developers to build and integrate custom external tools with Puch AI using the Model Context Protocol (MCP).
About
This repository offers a comprehensive starter template for creating Model Context Protocol (MCP) servers, allowing AI assistants like Puch to securely connect with external tools and data sources. It includes ready-to-use examples such as a Job Finder for analyzing descriptions, fetching postings, and searching opportunities, alongside an Image Processing tool for monochrome conversion. The template features built-in bearer token authentication, making it easy to extend Puch AI's capabilities with custom functions.
Key Features
- Built-in Bearer Token Authentication required by Puch AI
- Image Processing Tool for basic image transformations
- Job Finder Tool for detailed job analysis and search
- Pre-configured development environment with Python and uv
- Quick setup guide for local and public deployment (ngrok/cloud)
- 13 GitHub stars
Use Cases
- Developing and deploying bespoke AI tools like specialized job search agents or image processors
- Extending Puch AI's capabilities with custom functions and external data sources
- Integrating enterprise-specific data or internal systems with Puch AI through a secure protocol
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