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deploy-mcp

Universal Deployment Tracker for AI Assistants

Track deployments across all platforms directly in your AI conversation.
No more context-switching. No more dashboard hunting.

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Demo

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<kbd> <a href="./assets/demo.gif"> <img src="./assets/demo-preview.png" alt="Click to watch full demo" width="600" /> </a> </kbd>

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_{Watch Full Demo · Live Badge Demo}

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Quick Start

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Get started in under 30 seconds:

npx deploy-mcp

That's it! The server is now running and ready to be configured in your AI assistant.

Supported Platforms

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deploy-mcp supports multiple deployment platforms simultaneously. Configure as many as you need:

Platform	Status	Token Required	Features
Vercel	✅ Ready	VERCEL_TOKEN	Status, Logs, History, Real-time Monitoring
Netlify	✅ Ready	NETLIFY_TOKEN	Status, Logs, History, Real-time Monitoring
Cloudflare Pages	✅ Ready	CLOUDFLARE_TOKEN	Status, Logs, History, Real-time Monitoring
GitHub Pages	🚧 Coming Soon	GITHUB_TOKEN	-

Multi-Platform Configuration

You can use multiple platforms simultaneously by providing tokens for each platform you want to track:

{
  "mcpServers": {
    "deploy-mcp": {
      "command": "npx",
      "args": ["-y", "deploy-mcp"],
      "env": {
        "VERCEL_TOKEN": "your-vercel-token",
        "NETLIFY_TOKEN": "your-netlify-token",
        "CLOUDFLARE_TOKEN": "accountId:globalApiKey"
        // Add more platform tokens as needed
      }
    }
  }
}

Platform Configuration

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Vercel

<details> <summary><strong>Setup Instructions</strong></summary>

1. Get your API token:

   • Go to vercel.com/account/tokens
   • Click "Create Token"
   • Give it a descriptive name (e.g., "deploy-mcp")
   • Copy the token

2. Add to your AI assistant configuration:

   {
     "env": {
       "VERCEL_TOKEN": "your-vercel-token"
     }
   }
   

3. Available commands:

   • "Check my Vercel deployment for project-name"
   • "What's the status of my latest Vercel deployment?"
   • "Show me Vercel deployment logs"
   • "Watch my Vercel deployment progress"
   • "List all my Vercel projects"
   • "Show last 5 deployments for project-name"

4. Required permissions: Read access to deployments and projects

</details>

Netlify

<details> <summary><strong>Setup Instructions</strong></summary>

1. Get your API token:

   • Go to app.netlify.com/user/applications
   • Under "Personal access tokens", click "New access token"
   • Give it a descriptive name (e.g., "deploy-mcp")
   • Copy the token

2. Add to your AI assistant configuration:

   {
     "env": {
       "NETLIFY_TOKEN": "your-netlify-token"
     }
   }
   

3. Available commands:

   • "Check my Netlify deployment for site-name"
   • "What's the status of my latest Netlify deployment?"
   • "Show me Netlify deployment logs"
   • "Watch my Netlify deployment progress"
   • "List all my Netlify sites"
   • "Show deployment history for site-name"

4. Required permissions: Read access to sites and deploys

</details>

Cloudflare Pages

<details> <summary><strong>Setup Instructions</strong></summary>

1. Get your API token:

   • Go to dash.cloudflare.com/profile/api-tokens
   • Click "Create Token"
   • Use "Custom token" with these permissions:
     • Zone:Zone:Read
     • Zone:Page Rules:Read
     • Account:Cloudflare Pages:Edit
   • Or use your Global API Key (format: accountId:globalApiKey)
   • Copy the token

2. Add to your AI assistant configuration:

   {
     "env": {
       "CLOUDFLARE_TOKEN": "your-cloudflare-token-or-accountId:globalApiKey"
     }
   }
   

3. Available commands:

   • "Check my Cloudflare Pages deployment for project-name"
   • "What's the status of my latest Cloudflare Pages deployment?"
   • "Show me Cloudflare Pages deployment logs"
   • "Watch my Cloudflare Pages deployment progress"
   • "List all my Cloudflare Pages projects"
   • "Show deployment history for project-name"

4. Token formats supported:

   • API Token: your-api-token (requires CLOUDFLARE_ACCOUNT_ID env var)
   • Global API Key: accountId:globalApiKey (all-in-one format)

5. Required permissions: Account access to Cloudflare Pages

</details>

AI Assistant Configuration

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deploy-mcp works with any MCP-compatible AI assistant. Here's how to set it up:

Claude Desktop

<details> <summary><strong>Configuration</strong></summary>

File location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Configuration:

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

</details>

VS Code

<details> <summary><strong>Configuration</strong></summary>

File location:

• Workspace: .vscode/mcp.json
• Global: ~/.vscode/mcp.json

Requirements: GitHub Copilot subscription with MCP enabled

Configuration: Same as Claude Desktop

</details>

Cursor AI

<details> <summary><strong>Configuration</strong></summary>

File location: ~/.cursor/mcp.json

Setup: Navigate to Cursor Settings → MCP

Configuration: Same as Claude Desktop

</details>

Windsurf IDE

<details> <summary><strong>Configuration</strong></summary>

File location: ~/.codeium/windsurf/mcp_config.json

Setup: Settings → Advanced Settings → Cascade

Configuration: Same as Claude Desktop

</details>

Continue.dev

<details> <summary><strong>Configuration</strong></summary>

File location: ~/.continue/config.json

Configuration (different structure):

{
  "experimental": {
    "modelContextProtocolServer": {
      "transport": {
        "type": "stdio",
        "command": "npx",
        "args": ["-y", "deploy-mcp"]
      },
      "env": {
        "VERCEL_TOKEN": "your-vercel-token",
        "NETLIFY_TOKEN": "your-netlify-token"
      }
    }
  }
}

</details>

Cline (VS Code Extension)

<details> <summary><strong>Configuration</strong></summary>

Natural language setup:

• Ask: "Add the deploy-mcp tool to check deployments"

Manual setup:

• MCP Servers icon → Advanced MCP Settings

Configuration: Same as Claude Desktop

</details>

Deployment Status Badges

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Get live deployment status badges for your repositories:

Badge Format

The deploy-mcp.io endpoint returns JSON data for shields.io. Use the shields.io endpoint wrapper:

![Platform Deployment](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/{username}/{repository}/{platform})

Examples by Platform

Vercel Badge

![Vercel](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/john/my-app/vercel)

Netlify Badge

![Netlify](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/john/my-app/netlify)

Multiple Badges

![Vercel](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/john/my-app/vercel)
![Netlify](https://img.shields.io/endpoint?url=https://deploy-mcp.io/badge/john/my-app/netlify)

Webhook Configuration

For real-time badge updates, configure webhooks:

<details> <summary><strong>Vercel Webhooks</strong> (Pro/Enterprise only)</summary>

1. Go to your Vercel team settings
2. Navigate to "Webhooks" section
3. Click "Create Webhook"
4. Configure:
   • URL: https://deploy-mcp.io/webhook/{username}/{repo}/vercel
   • Events: Deployment Created, Ready, Error
   • Projects: Select specific or all

</details>

<details> <summary><strong>Netlify Webhooks</strong></summary>

1. Go to Site Settings → Build & deploy → Deploy notifications
2. Add notification → Outgoing webhook
3. Configure:
   • URL: https://deploy-mcp.io/webhook/{username}/{repo}/netlify
   • Events: Deploy started, succeeded, failed

</details>

Note: Badges require public repositories. Private repo support coming soon.

Available Tools

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deploy-mcp provides these tools to your AI assistant:

Core Tools

Tool	Description	Example Command
check_deployment_status	Get latest deployment status or history	"Check my deployment status" / "Show last 5 deployments"
watch_deployment	Monitor deployment in real-time	"Watch my deployment progress"
compare_deployments	Compare recent deployments	"Compare my last 2 deployments"
get_deployment_logs	Fetch deployment logs	"Show me deployment logs"
list_projects	List all available projects	"List my Vercel projects" / "Show all Netlify sites"

Platform-Specific Usage

Commands work across all configured platforms:

"Check my Vercel deployment for my-app"
"Show last 10 deployments for my-app on Vercel"
"List all my Vercel projects"
"Check my Netlify deployment for my-site"
"Show me logs for deployment abc123 on Vercel"
"Watch my Netlify deployment progress"
"Show all my Netlify sites"

New Features

List Projects

Discover all your projects/sites across platforms:

"List my Vercel projects"
"Show all Netlify sites"
"What projects do I have on Vercel?"

Deployment History

View multiple recent deployments at once:

"Show last 5 deployments for my-app"
"Get deployment history for my-site"
"Check last 10 deployments on Vercel"

The AI will automatically use the correct platform based on:

1. Explicit platform mention in your command
2. Project/site name matching
3. Available tokens in configuration

Security

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• Local tokens only - Your API tokens stay on your machine
• No telemetry - We don't track usage or collect data
• Open source - Fully auditable codebase
• Minimal permissions - Only read access required

Advanced Configuration

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Environment Variables

You can also set tokens via environment variables:

export VERCEL_TOKEN="your-vercel-token"
export NETLIFY_TOKEN="your-netlify-token"
npx deploy-mcp

Custom Installation

For production use, install globally:

npm install -g deploy-mcp
deploy-mcp

Contributing

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We welcome contributions! See CONTRIBUTING.md for guidelines.

Adding New Platforms

1. Implement the BaseAdapter interface
2. Add platform-specific API client
3. Update configuration documentation
4. Add tests

License

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Apache 2.0 - See LICENSE for details.

Links

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• Website
• npm Package
• GitHub Repository
• Report Issues

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<div align="center"> Made with ❤️ for developers who love AI-assisted coding </div>