-
securityF
license-
qualityA demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.
Last updated -
Python
Allows embedding an MCP server into any Next.js project on specific routes
Offers the @vercel/mcp-adapter package for easy integration of MCP servers into projects
Required for Server-Sent Events (SSE) transport when running on Vercel
Provides TypeScript SDK for defining tools, prompts, and resources in the MCP server
Enables deployment of MCP servers on Vercel, with support for Fluid compute for efficient execution
Example Next.js MCP Server
Uses @vercel/mcp-adapter
Usage
This sample app uses the Vercel MCP Adapter that allows you to drop in an MCP server on a group of routes in any Next.js project.
Update app/[transport]/route.ts with your tools, prompts, and resources following the MCP TypeScript SDK documentation.
Notes for running on Vercel
- To use the SSE transport, requires a Redis attached to the project under
process.env.REDIS_URL - Make sure you have Fluid compute enabled for efficient execution
- After enabling Fluid compute, open
app/route.tsand adjustmaxDurationto 800 if you using a Vercel Pro or Enterprise account - Deploy the Next.js MCP template
Sample Client
script/test-client.mjs contains a sample client to try invocations.
This server cannot be installed
A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.
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