A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.
A starter template for creating MCP servers that work with Puch AI, including built-in tools for job searching (analyze descriptions, fetch postings, search opportunities) and basic image processing. Features bearer token authentication and ready-to-deploy setup for extending Puch AI with custom tools.
A comprehensive Model Context Protocol server template that implements HTTP-based transport with OAuth proxy for third-party authorization servers like Auth0, enabling AI tools to securely connect while supporting Dynamic Application Registration.
This template enables developers to quickly scaffold, deploy, and extend a Model Context Protocol server on Render, with bearer-token authentication and a streamable HTTP endpoint, by adding custom tools via Python.
A starter template for creating MCP servers compatible with Puch AI, featuring built-in tools for job searching and analysis, plus basic image processing capabilities. Includes authentication and deployment guidance for extending Puch AI with custom tools.
A starter template for creating MCP servers that work with Puch AI, featuring built-in tools for job searching and image processing. Includes job description analysis, job posting fetching, job search capabilities, and image-to-grayscale conversion with bearer token authentication.
