Pass VERCEL_TEAM_ID to scope all calls to one team. Without it the MCP defaults to the personal account associated with the token, which is rarely what shared agents should target.

Does it expose env var values?

No. The MCP returns env var names, scopes, and update times — values are intentionally masked because returning them would leak production secrets into the model context.

Yes via a dedicated tool that requires explicit confirmation in the prompt. For high-blast-radius operations gate the tool through a human-in-the-loop step.

Vercel (MCP server)

Name: Top MCPs — curated MCP directory
Creator: Top MCPs
License: https://creativecommons.org/licenses/by/4.0/

Official

Inspect deployments, logs, and project state on Vercel from an AI agent.

Score 67(?)VercelApache-2.0Verified Jun 2, 2026Top MCPs for Cloud & Infrastructure →

Install View on GitHub

Quick answer

What it does

Wraps the Vercel REST API for project, deployment, log, env var (metadata only), and domain operations. Read-only by default for sensitive surfaces.

Best for

Deploy investigation
Build-log debugging
Env var audits
Domain status checks

Not for

Unattended deploys
Workflows that need secret values in plaintext

Setup recipe

Pick your client, then follow the three steps.

Install

claude_desktop_config.jsonjson

{
  "mcpServers": {
    "vercel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "VERCEL_TOKEN",
        "-e",
        "VERCEL_TEAM_ID",
        "vercel/mcp-server:latest"
      ],
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

Paste under mcpServers. Fully quit and reopen Claude after editing.

CLI or .mcp.jsonshell

# export VERCEL_TOKEN=changeme
# export VERCEL_TEAM_ID=optional-team-scope
claude mcp add vercel-mcp -- docker run --rm -i -e VERCEL_TOKEN -e VERCEL_TEAM_ID vercel/mcp-server:latest

Run from your repo. Commit .mcp.json to share with your team.

.cursor/mcp.jsonjson

{
  "mcpServers": {
    "vercel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "VERCEL_TOKEN",
        "-e",
        "VERCEL_TEAM_ID",
        "vercel/mcp-server:latest"
      ],
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

Global path: ~/.cursor/mcp.json. Reload window after editing.

.vscode/mcp.jsonjsonc

{
  "servers": {
    "vercel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "VERCEL_TOKEN",
        "-e",
        "VERCEL_TEAM_ID",
        "vercel/mcp-server:latest"
      ],
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

VS Code uses the "servers" key (not "mcpServers").

~/.codeium/windsurf/mcp_config.jsonjson

{
  "mcpServers": {
    "vercel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "VERCEL_TOKEN",
        "-e",
        "VERCEL_TEAM_ID",
        "vercel/mcp-server:latest"
      ],
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

Open via Cascade → hammer icon → Configure.

cline_mcp_settings.jsonjson

{
  "mcpServers": {
    "vercel-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "VERCEL_TOKEN",
        "-e",
        "VERCEL_TEAM_ID",
        "vercel/mcp-server:latest"
      ],
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

Open via the Cline sidebar → MCP Servers → Edit.

~/.continue/config.jsonjson

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "docker",
          "args": [
            "run",
            "--rm",
            "-i",
            "-e",
            "VERCEL_TOKEN",
            "-e",
            "VERCEL_TEAM_ID",
            "vercel/mcp-server:latest"
          ],
          "env": {
            "VERCEL_TOKEN": "${VERCEL_TOKEN}",
            "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
          }
        }
      }
    ]
  }
}

Continue uses modelContextProtocolServers with a transport block.

~/.codex/config.tomlshell

# ~/.codex/config.toml
[mcp_servers.vercel-mcp]
command = "docker"
args = [
  "run",
  "--rm",
  "-i",
  "-e",
  "VERCEL_TOKEN",
  "-e",
  "VERCEL_TEAM_ID",
  "vercel/mcp-server:latest",
]
env = { VERCEL_TOKEN = "${VERCEL_TOKEN}", VERCEL_TEAM_ID = "${VERCEL_TEAM_ID}" }

Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.

~/.config/zed/settings.jsonjsonc

{
  "context_servers": {
    "vercel-mcp": {
      "command": {
        "path": "docker",
        "args": [
          "run",
          "--rm",
          "-i",
          "-e",
          "VERCEL_TOKEN",
          "-e",
          "VERCEL_TEAM_ID",
          "vercel/mcp-server:latest"
        ]
      },
      "env": {
        "VERCEL_TOKEN": "${VERCEL_TOKEN}",
        "VERCEL_TEAM_ID": "${VERCEL_TEAM_ID}"
      }
    }
  }
}

Zed calls them "context_servers". Settings live-reload on save.

ChatGPT → Settings → Connectors (remote URL)json

{
  "name": "Vercel (MCP server)",
  "transport": "http",
  "url": "https://mcp.vercel.com"
}

Paste this into Settings → Connectors → Add custom connector. Requires ChatGPT Pro / Team / Enterprise / Edu with Developer mode enabled. ChatGPT supports remote HTTPS MCP servers only — stdio servers must be hosted on a public HTTPS endpoint first.

2
Set required secrets
Set VERCEL_TOKEN, VERCEL_TEAM_ID in your shell environment before launching your MCP client.
3
Try a minimum working prompt
Minimum working prompt pending verification. Try any prompt from the MCP’s README once installed.

Tools & permissions

Tool	Description	Args	Side effects
`list_projects`	List Vercel projects in the configured team or account.	—	Read
`list_deployments`	List recent deployments for a project.	project: string	Read
`get_build_logs`	Fetch build logs for a deployment.	deployment_id: string	Read
`list_env_vars`	List env var names and scopes for a project (values masked).	project: string	Read
`list_domains`	List domains attached to a project.	project: string	Read

Security & scope

Access scope: Read-only
Sandbox: Authenticates with a Vercel access token, ideally scoped to one team. Most tools are read-only; the redeploy tool can be disabled via VERCEL_DISABLE_WRITES=true for read-only stacks.
Gotchas: Tokens granted personal-account scope can see every project the human can see — scope by team.
The MCP masks env var values, but build logs themselves can leak secrets if the application echoes them; sanitize on the build side.
Redeploy tool can trigger a production deploy — leave VERCEL_DISABLE_WRITES=true unless you actively need it.

Agent prompt pack

— copy into Claude, Cursor, or ChatGPT.

Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.

Recommend the best MCP servers for [task: e.g. cloud & infrastructure work] in [client: Claude].

Constraints:
- Prefer tools that are [official | open-source | read-only] — pick what matters for my use case.
- Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport].
- Return at most 3 picks, ranked.

For each pick include:
1. One-sentence rationale.
2. The ready-to-paste install snippet for my client.
3. Any required secrets I need to create before installing.

Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-cloud-infrastructure

Compare Vercel (MCP server) against a real alternative. Swap the second MCP in [brackets] if you want a different match.

Compare Vercel (MCP server) MCP vs [Cloudflare MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"].

Judge them on:
- Setup time and complexity (what a new user hits first).
- Auth model (none / API key / OAuth 2.1) and credential risk.
- Transport (stdio / Streamable HTTP / SSE) and where the server runs.
- Required secrets and the blast radius if they leak.
- Operational risk in an unattended agent loop.
- Which one is "good enough" for a weekend prototype vs. production.

End with one sentence: which should I pick for my scenario, which is: [my scenario].

References:
- https://top-mcps.com/mcp/vercel-mcp
- top-mcps.com listing for Cloudflare

Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.

Install the Vercel (MCP server) MCP server for my [client: Claude] at the default config path for that client.

Use the exact install snippet published at https://top-mcps.com/mcp/vercel-mcp (fetch https://top-mcps.com/mcp/vercel-mcp.json for the canonical server.json if you can read URLs).

Before finishing:
1. Create the required secrets (VERCEL_TOKEN, VERCEL_TEAM_ID) and put them in the appropriate env block — do not hard-code them.
2. Restart or reload the client so it picks up the new server.
3. Verify the server is connected (green / running state) and at least one tool is listed.
4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry.

Confirm when done and list the tools the server now exposes.

Frequently asked questions

What changed

— 2 updates tracked.

Jun 2, 2026
Refreshed install snippets and fact sheet; verified for 2026.
Mar 30, 2025
Initial directory listing.

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Quick answer

What it does

Best for

Not for

Setup recipe

Install

Set required secrets

Try a minimum working prompt

Tools & permissions

Security & scope

Agent prompt pack

Full details

Frequently asked questions

Team scoping?

Does it expose env var values?

Can it redeploy?

What changed

More Cloud & Infrastructure MCPs

Supabase

Stripe

Cloudflare

Compared with Vercel (MCP server)