What dependencies does Run an MCP Server on Vercel require?
It requires a Redis instance attached to the project and accessible via the `REDIS_URL` environment variable. Fluid compute must be enabled for efficient execution.
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Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"opengov-mcp-server-vercel": {
"command": "node",
"args": [
"scripts/test-client.mjs",
"https://mcp-on-vercel.vercel.app"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Run an MCP Server on Vercel is a template for deploying a Model Context Protocol (MCP) server on Vercel Functions. It integrates the MCP TypeScript SDK with serverless infrastructure and requires a Redis instance for state management.
Update api/server.ts to define custom tools, prompts, and resources following the MCP TypeScript SDK. Deploy the project on Vercel with a Redis instance set as process.env.REDIS_URL, enable Fluid compute, and optionally adjust vercel.json max duration to 800 seconds for Pro or Enterprise accounts. A sample client script (scripts/test-client.mjs) is provided for testing invocations.
It requires a Redis instance attached to the project and accessible via the `REDIS_URL` environment variable. Fluid compute must be enabled for efficient execution.
Yes. After enabling Fluid compute, you can set the max duration in `vercel.json` to 800 seconds if you have a Vercel Pro or Enterprise account.
Yes. The project includes `scripts/test-client.mjs`, a sample client that can be run to test invocations against the deployed server.
Yes. There is a separate Next.js version of this template available in the Vercel template gallery.
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