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Vercel Deployment MCP

by addiplusversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.addiplus/vercel-deployment-mcp

Install

Overview

Description from the maker (original English)

Reference MCP stdio server for observing Vercel projects and deployments.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: VERCEL_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: VERCEL_TOKEN, VERCEL_TEAM_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add vercel-deployment --env VERCEL_TOKEN=your-value --env VERCEL_TEAM_ID=your-value -- npx -y @addiplus/vercel-deployment-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "vercel-deployment": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@addiplus/vercel-deployment-mcp"
      ],
      "env": {
        "VERCEL_TOKEN": "your-value",
        "VERCEL_TEAM_ID": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • VERCEL_TOKEN secret required env
    Vercel API access token used to read project and deployment information. Create one at https://vercel.com/account/tokens.
  • VERCEL_TEAM_ID env
    Optional Vercel team (scope) identifier. Set this when the token belongs to a team so requests target the correct team scope.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account addiplus, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1395 servers in this category
  • Published to the registry more recently than 31% of the other 1395 servers in this category
  • Basic checks equal to or better than 100% of the other 1395 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Vercel Deployment MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: VERCEL_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

ToolDescription
list_projectsList projects visible to the configured account/team (search, limit)
get_projectFetch one project by ID or name
list_deploymentsList recent deployments (filter by project, state, limit)
get_deploymentFetch one deployment by ID or URL, including current state

list_projects and list_deployments each return a single page of up to limit results (default 20, max 100). There is no cursor pagination; narrow the request with search, projectId, or state to see more specific results.

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

Running the test suite needs a newer Node than the server does. vitest 4.1.10 declares engines.node of ^20.0.0 || ^22.0.0 || >=24.0.0, and the vite 8.1.3 this lockfile pins narrows that to ^20.19.0 || >=22.12.0. The suite runs on the intersection of the two, ^20.19.0 || ^22.12.0 || >=24.0.0: the 20 line from 20.19.0, the 22 line from 22.12.0, and 24 and above. The 23 line is outside it, because vitest does not cover 23. CI runs 22 and 24. The published package itself still runs on Node >=18 per engines.

Configuration

VariableRequiredPurpose
VERCEL_TOKENyesVercel access token (create in account settings)
VERCEL_TEAM_IDnoScope requests to a team
VERCEL_MCP_MIN_INTERVAL_MSnoMinimum milliseconds between the start of one Vercel API request and the next (default 250)
VERCEL_MCP_MAX_CONCURRENTnoMaximum number of Vercel API requests in flight at once (default 4)

On an HTTP 429 with a numeric Retry-After header of 10 seconds or less, the server waits that long and retries the request once; any other 429 is surfaced as an error on the first attempt.

Limits
LimitValue
Longest search value4096 characters
Longest projectId, state, idOrName, idOrUrl value512 characters
Largest accepted protocol frame10485760 bytes
Highest accepted VERCEL_MCP_MIN_INTERVAL_MS60000

The frame limit counts the message and not the newline that delimits it, so a message of exactly 10485760 bytes is accepted. Everything before that newline is the message, a carriage return sitting just in front of it included.

Each of these limits has its own behaviour above the value in the table. An over-long argument fails input validation: the call comes back as a JSON-RPC -32602 invalid-params result, no Vercel API request is made, and nothing is written to stderr for it. A frame above the frame limit is dropped, one line on stderr says so, and the connection keeps serving. An interval above the ceiling is not refused, it is reduced to the ceiling: the server runs with the reduced value, and one line on stderr says so the first time it makes a Vercel API request. The same stderr report repeated back to back is written twice at most, the second time to say that further identical reports are suppressed.

initialize and ping are answered at any time. tools/list and tools/call are answered only once the client has completed the initialization handshake: an initialize request the server can answer, followed by notifications/initialized. Both halves are required, so the notification on its own completes nothing, and neither does an initialize the server rejects. A client that writes both halves and its first call in a single write is served, rather than being refused for not waiting for the initialize response. Before the handshake, those two methods are refused with JSON-RPC error -32600 and no Vercel API request is made.

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

First written 2026-07-10 and kept current with the code since; claim 1 was restated when error text began being redacted once, where it becomes client-visible. Each claim below is implemented in code and verified by the test suite where testable (test/); design properties cite the implementing code.

  1. Configured values never appear in an error. The access token is read only from the environment. Error text is shaped, size-bounded, and passed through a redaction guard once, where it becomes client-visible text, so an upstream API message cannot echo the token or the team id back (src/vercel.ts); the fixed hint appended after that bound is text this server writes and carries nothing to replace. A successful result is a fixed projection of the upstream body and is not redacted, so a team identifier that the Vercel API itself returns inside a deployment URL still appears there.
  2. stdout belongs to the protocol. All diagnostics go to stderr (src/index.ts), so no log line can leak into a tool response.
  3. Minimal footprint. The tools are read-only observations of projects and deployments; the server requests nothing beyond what those reads need.
  4. Stateless by design. 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. The one piece of module-level state is a request throttle (src/vercel.ts) that spaces out and caps concurrent Vercel API calls; its interval and concurrency settings are read once at first use, and it holds no credentials or response data.

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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