Model Context

You can run an MCP server on Vercel to provide a scalable, serverless endpoint that accepts prompts from MCP clients and returns guided responses. This setup is ideal for quickly prototyping tools and hosting an MCP workflow with minimal maintenance.

How to use

To use this MCP server with a client, deploy your server to Vercel and connect your client to the deployment URL followed by /mcp.

https://your-deployment-url.vercel.app/mcp

How to install

Prerequisites you need before you install and run the MCP server locally or in the cloud.

• Install Node.js (LTS version) on your machine.

How to install

Step-by-step flow to set up the MCP server on your machine and prepare it for deployment.

# Ensure you have Node and npm installed
node -v
npm -v

# Install Vercel CLI for local development and deployment
npm i -g vercel

# Start local development (vercel dev serves the MCP endpoint locally)
vercel dev

# When ready to deploy to production, authenticate and deploy
vercel login
vercel --prod

Notes and configuration

The server uses a set of tools you configure in your api/server.ts file. You can customize prompts, tools, and resources to suit your use case. If you want to run the server locally first, use vercel dev for a quick feedback loop.

Available tools

roll_dice

Rolls an N-sided die (N≥2) to generate random results for simple simulations or decision making.

get_weather

Fetches current weather data for a given location using latitude, longitude, and city name through an API.