
alexpota/deploy-mcp
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Universal deployment tracker for AI assistants - check deployment status without leaving your AI chat
概要
Track deployments across all platforms directly in your AI conversation. No more context-switching. No more dashboard hunting. That's it! The server is now running and ready to be configured in your AI assistant. deploy-mcp supports multiple deployment platforms simultaneously. Configure as many as you need: You can use by providing tokens for each platform you want to track: 1. - Go to vercel.com/account/tokens - Click "Create Token" - Give it a descriptive name (e.g., "deploy-mcp") - Copy the token 3. - "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. Read access to deployments and projects 1. - 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
README
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Demo
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
-
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
-
Add to your AI assistant configuration:
{ "env": { "VERCEL_TOKEN": "your-vercel-token" } } -
Available commands:
"Check my Vercel deployment for project-name""What's the status of my latest Vercel deployment?"
インストール
npx -y deploy-mcp設定
{
"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
}
}
}
}