Is Vercel Deployment free?

Yes, Vercel Deployment is free to use.

How do I install Vercel Deployment?

Vercel Deployment is a local plugin. Install it using npm package: @addiplus/vercel-deployment-mcp and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Vercel Deployment safe to use?

Yes. Vercel Deployment passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What credentials does Vercel Deployment need?

Vercel Deployment requires the following credentials or environment variables: VERCEL_TOKEN, VERCEL_TEAM_ID. You can find setup instructions on the server detail page.

What AI apps work with Vercel Deployment?

Vercel Deployment uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Vercel Deployment MCP Server

by Addiplus

Cloud & DevOpsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

Reference MCP stdio server for observing Vercel projects and deployments.

About

Reference MCP stdio server for observing Vercel projects and deployments.

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

9 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

What You'll Need

Set these up before or after installing:

Vercel API access token used to read project and deployment information. Create one at https://vercel.com/account/tokens.Required

Environment variable: VERCEL_TOKEN

Optional Vercel team (scope) identifier. Set this when the token belongs to a team so requests target the correct team scope.Optional

Environment variable: VERCEL_TEAM_ID

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-addiplus-vercel-deployment-mcp": {
      "env": {
        "VERCEL_TOKEN": "your-vercel-token-here",
        "VERCEL_TEAM_ID": "your-vercel-team-id-here"
      },
      "args": [
        "-y",
        "@addiplus/vercel-deployment-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

vercel-deployment-mcp

A reference Model Context Protocol server for observing Vercel projects and deployments over stdio.

This is a community reference implementation focused on deployment-workflow patterns — it is not a replacement for Vercel's own MCP offering. Its purpose is to demonstrate, in a small and readable codebase, how a deployment-focused MCP server can handle configuration cleanly and behave predictably on short-lived infrastructure.

Tools

Tool	Description
`list_projects`	List projects visible to the configured account/team (search, limit)
`get_project`	Fetch one project by ID or name
`list_deployments`	List recent deployments (filter by project, state, limit)
`get_deployment`	Fetch one deployment by ID or URL, including current state

Install

From npm:

npm install @addiplus/vercel-deployment-mcp

Or run it directly without installing:

npx @addiplus/vercel-deployment-mcp

From source:

git clone https://github.com/addiplus/vercel-deployment-mcp.git
cd vercel-deployment-mcp
npm install
npm run build
npm test

Configuration

Variable	Required	Purpose
`VERCEL_TOKEN`	yes	Vercel access token (create in account settings)
`VERCEL_TEAM_ID`	no	Scope requests to a team

Example client configuration (Claude Desktop / Claude Code):

{
  "mcpServers": {
    "vercel-deployment": {
      "command": "npx",
      "args": ["-y", "@addiplus/vercel-deployment-mcp"],
      "env": { "VERCEL_TOKEN": "…" }
    }
  }
}

When running from a source checkout, use "command": "node" with "args": ["/path/to/vercel-deployment-mcp/dist/index.js"] instead.

Design principles

Dated 2026-07-08. Each claim below is implemented in code and verified by the test suite where testable (test/); design properties cite the implementing code.

Configuration values never appear in output. The access token is read only from the environment. Error messages are shaped, size-bounded, and passed through a redaction guard so upstream API messages cannot echo the value back (src/vercel.ts).
stdout belongs to the protocol. All diagnostics go to stderr (src/index.ts), so no log line can leak into a tool response.
Minimal footprint. v0.1 tools are read-only observations of projects and deployments; the server requests nothing beyond what those reads need.
Stateless by design. There is no module-level mutable state (src/tools.ts, src/vercel.ts), and configuration is re-read from the environment on every tool call (verified in test/tools.test.ts), so behavior is identical on long-lived hosts and short-lived workers.

Roadmap

Deployment actions with an explicit out-of-band approval step (exploring the patterns discussed in MCP spec issues #2919/#2920 around multi-round tool results on stateless transports).
Standardizing how server.json describes stdio package install manifests and how clients convert them into local configuration files (spec issue #2963, registry issue #749).

License

MIT

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Vercel Deployment MCP Server

About

Security Report

Findings (1)

Permissions Required

What You'll Need

How to Install

Documentation

vercel-deployment-mcp

Tools

Install

Configuration

Design principles

Roadmap

License

Reviews

No reviews yet

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