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Provides a Vercel-deployable template for building custom Model Context Protocol servers with extensible functionalities.
About
This template facilitates the deployment of custom Model Context Protocol (MCP) servers on Vercel, empowering developers to extend large language models with specific, custom-defined functionalities. It offers a foundational structure for integrating custom tools and prompts, demonstrating how to connect with external APIs for dynamic actions and data retrieval. Designed for ease of customization and local development, the framework ensures efficient execution on Vercel, optimized with Fluid Compute for demanding tasks.
Key Features
- Includes example tools: 'roll_dice' and 'get_weather'
- Optimized for Vercel's Fluid Compute for efficient execution
- Vercel deployment template for MCP servers
- 0 GitHub stars
- Supports MCP Client integration via a deployment URL
- Local development support with 'vercel dev'
Use Cases
- Extending large language models (LLMs) with custom capabilities such as specific calculations or real-time data lookups.
- Developing custom API integrations to provide specialized functionalities for AI agents.
- Rapid prototyping and deployment of Model Context Protocol servers on a scalable cloud platform.
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