How do I connect an MCP client to my deployed server?

To integrate with an MCP client, simply use your Vercel deployment URL followed by `/mcp` (e.g., `https://your-deployment-url.vercel.app/mcp`).

Can I integrate my own custom tools and APIs?

Absolutely. The template is built for extensibility. You can easily update `api/server.ts` with your unique tools, prompts, and resources, following the MCP TypeScript SDK documentation.

Does Basic Math support local development?

Yes, it fully supports local development. You can run `vercel dev` to test and build your MCP server locally before deployment.

Basic Math is a Vercel-deployable template designed for building custom Model Context Protocol (MCP) servers, enabling you to create extensible API solutions quickly.

How do I deploy an MCP server using Basic Math?

You can deploy it effortlessly to Vercel as a function. The template is optimized for Vercel's Fluid Compute to ensure efficient execution and scalability.

Basic Math

Name: Basic Math
Author: TheGreatAxios

0•

Provides a Vercel-deployable template for building custom Model Context Protocol servers with extensible functionalities.

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.

主要功能

01Includes example tools: 'roll_dice' and 'get_weather'

02Optimized for Vercel's Fluid Compute for efficient execution

03Vercel deployment template for MCP servers

040 GitHub stars

05Supports MCP Client integration via a deployment URL

06Local development support with 'vercel dev'

使用案例

01Extending large language models (LLMs) with custom capabilities such as specific calculations or real-time data lookups.

02Developing custom API integrations to provide specialized functionalities for AI agents.

03Rapid prototyping and deployment of Model Context Protocol servers on a scalable cloud platform.