Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
Sponsored
This project provides a foundational template for developing Model Context Protocol (MCP) servers, allowing AI assistants like Puch to securely access and utilize external functionalities. It comes pre-equipped with essential tools for job searching and image processing, demonstrating how to extend an AI's capabilities without compromising security, and includes built-in authentication for seamless integration. The starter aims to make it easy to create and deploy custom AI-accessible tools.
Características Principales
01Integrates Job Finder tool for comprehensive job search and analysis.
020 GitHub stars
03Offers an Image Processing tool for basic image manipulation like black & white conversion.
04Facilitates secure communication between AI assistants and external data sources.
05Includes robust Bearer token authentication for secure AI assistant connections.
06Provides a ready-to-use template for quickly developing custom AI tools via MCP.
Casos de Uso
01Allowing AI to process and convert images on demand.
02Enabling AI assistants to perform detailed job searches and analyses.
03Developing custom AI integrations for specific industry needs or data sources.
