Universal Deployment Tracker

deploy-mcp

Track deployments across all platforms directly in your AI assistant. Never context-switch to check deployment status again.

Get Started in Seconds

npx deploy-mcp
1

Install & Run

Get started instantly with npx - no installation required.

npx deploy-mcp
2

Configure Claude

Add to your Claude Desktop configuration file.

{ "mcpServers": { "deploy-mcp": { "command": "npx", "args": ["-y", "deploy-mcp"], "env": { "VERCEL_TOKEN": "your-token" } } } }
3

Start Tracking

Ask Claude about your deployments directly in conversation.

"Check my latest Vercel deployment"

Claude responds:

Status: Success
🌐 Live URL: https://my-app.vercel.app
⏱️ Deployment Time: 45 seconds
📅 Last Deployed: 2 minutes ago
🔄 Commit: "Update homepage hero section"

Live Status Badges

Embed deployment status in your README with beautiful, real-time badges.

Live Examples:

Vercel Deploy Status microsoft/vscode on Vercel
Netlify Deploy Status facebook/react on Netlify
Railway Deploy Status angular/angular on Railway
[![Deploy Status](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/user/repo/vercel)](https://deploy-mcp.io)

✅ Now Available

Supports Vercel • Netlify and Railway coming soon

Quick Setup:

  1. Add badge to your README (replace user/repo in URL above)
  2. Configure webhook in your deployment platform
  3. Badge updates automatically on each deployment

📖 Detailed setup instructions: View README

Supported Platforms

Universal support for all major deployment platforms, with more coming soon.

Vercel

Vercel

Full deployment tracking with real-time status updates

Netlify

Netlify

Coming in next release

Railway

Railway

On the roadmap

Render

Render

On the roadmap

Works with Your AI Tools

Compatible with all major AI assistants that support Model Context Protocol.

Claude

Claude Desktop

✓ Official Support
+
Cursor

Cursor AI

✓ One-click Install
+
Windsurf

Windsurf IDE

✓ Native Support
+
VS Code

VS Code

✓ GitHub Copilot
+

+ Any MCP-compatible tool
Works with all AI assistants that support Model Context Protocol

MCP Configuration

All AI tools use the same configuration. Copy this JSON and paste it into your tool's MCP settings:

{ "mcpServers": { "deploy-mcp": { "command": "npx", "args": ["-y", "deploy-mcp"], "env": { "VERCEL_TOKEN": "your-vercel-token" } } } }

💡 Replace your-vercel-token with your actual Vercel API token from vercel.com/account/tokens

Why deploy-mcp?

Zero Context Switching

Check deployment status without leaving your AI conversation. No more alt-tabbing to dashboards.

Secure & Private

Your API tokens stay local. Never sent to third parties or logged anywhere.

Lightning Fast

Get deployment status in under 2 seconds. Optimized for developer productivity.