Agent Deploy Dashboard MCP Server

Unified deployment management for AI agents — manage Vercel, Render, Railway, and Fly.io services from a single MCP + REST API.

License: MIT

Features

🚀 Multi-Platform Support — Manage Vercel, Render, Railway, and Fly.io from one interface
📊 Deployment Status — Check deploy status and health across all platforms
📝 Unified Logging — Tail logs and view build logs
⚙️ Environment Management — List, update, and manage env vars
🔄 Redeploy Operations — Trigger redeployments and rollbacks
💰 x402 Micropayments — Built-in payment middleware for API monetization
🔒 Rate Limiting — 50 free requests/IP/day with paid tier support

Quick Start

MCP Configuration

Add to your MCP settings file (cline_mcp_settings.json or similar):

{
  "mcpServers": {
    "agent-deploy-dashboard": {
      "url": "https://agent-deploy-dashboard-mcp.onrender.com/mcp"
    }
  }
}

REST API

Base URL: https://agent-deploy-dashboard-mcp.onrender.com

List All Services

curl -X GET https://agent-deploy-dashboard-mcp.onrender.com/api/v1/list_all_services

Response:

{
  "success": true,
  "services": [
    {
      "id": "prj_abc123",
      "name": "my-app",
      "platform": "vercel",
      "url": "https://my-app.vercel.app",
      "framework": "nextjs"
    },
    {
      "id": "srv_xyz789",
      "name": "api-service",
      "platform": "render",
      "type": "web_service",
      "region": "oregon"
    }
  ],
  "count": 2
}

Get Deploy Status

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/get_deploy_status \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "vercel",
    "service_id": "prj_abc123"
  }'

Response:

{
  "success": true,
  "platform": "vercel",
  "service_id": "prj_abc123",
  "deployment_id": "dpl_xyz",
  "status": "READY",
  "url": "https://my-app.vercel.app",
  "created_at": 1709823600000
}

Tail Logs

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/tail_logs \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "render",
    "service_id": "srv_xyz789",
    "lines": 50
  }'

Get Environment Variables

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/get_env_vars \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "vercel",
    "service_id": "prj_abc123"
  }'

Response:

{
  "success": true,
  "platform": "vercel",
  "service_id": "prj_abc123",
  "env_vars": {
    "DATABASE_URL": {
      "value": "[ENCRYPTED]",
      "target": ["production"],
      "type": "encrypted"
    },
    "API_KEY": {
      "value": "abc123",
      "target": ["production", "preview"],
      "type": "plain"
    }
  },
  "count": 2
}

Set Environment Variable

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/set_env_var \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "render",
    "service_id": "srv_xyz789",
    "key": "NEW_FEATURE_FLAG",
    "value": "true"
  }'

Trigger Redeploy

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/trigger_redeploy \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "vercel",
    "service_id": "prj_abc123"
  }'

Get Build Logs

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/get_build_logs \
  -H "Content-Type: application/json" \
  -d '{
    "platform": "vercel",
    "deploy_id": "dpl_xyz"
  }'

Check Health

curl -X POST https://agent-deploy-dashboard-mcp.onrender.com/api/v1/check_health \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://my-app.vercel.app/health"
  }'

Response:

{
  "success": true,
  "url": "https://my-app.vercel.app/health",
  "status_code": 200,
  "healthy": true,
  "response_time_ms": 142,
  "headers": {
    "content-type": "application/json",
    "x-vercel-id": "sfo1::abc123"
  }
}

Pricing

Free Tier

50 requests per IP per day
All tools included
All platforms supported
No credit card required

Paid Tier (HTTP 402 Payment)

After free tier exhausted:

$0.01 per request
Payment via HTTP 402 with crypto wallet
Wallet address: 0x8E844a7De89d7CfBFe9B4453E65935A22F146aBB
Include X-Payment header with payment proof

Platform Support

Platform	List Services	Deploy Status	Logs	Env Vars	Redeploy	Build Logs
Vercel	✅ Full	✅ Full	⚠️ Build only	✅ Full	✅ Full	✅ Full
Render	✅ Full	✅ Full	✅ Full	✅ Full	✅ Full	✅ Full
Railway	✅ Basic	⏳ Planned	⏳ Planned	⏳ Planned	⏳ Planned	⏳ Planned
Fly.io	✅ Basic	⏳ Planned	⏳ Planned	⏳ Planned	⏳ Planned	⏳ Planned

✅ = Fully implemented
⚠️ = Partial implementation
⏳ = Planned/stub implementation

Tools Reference

1. `list_all_services()`

List all services across all platforms.

Parameters: None

Returns:

{
  "success": true,
  "services": [...],
  "count": 10,
  "errors": null
}

2. `get_deploy_status(platform, service_id)`

Check deployment status for a specific service.

Parameters:

platform (string): Platform name — vercel, render, railway, or fly
service_id (string): Service/project ID

Returns:

{
  "success": true,
  "platform": "vercel",
  "service_id": "prj_abc",
  "deployment_id": "dpl_xyz",
  "status": "READY",
  "url": "https://...",
  "created_at": 1709823600000
}

3. `tail_logs(platform, service_id, lines=100)`

Stream recent logs from a service.

Parameters:

platform (string): Platform name
service_id (string): Service/project ID
lines (integer, optional): Number of log lines (default: 100)

Returns:

{
  "success": true,
  "platform": "render",
  "service_id": "srv_xyz",
  "logs": [...],
  "count": 100
}

4. `get_env_vars(platform, service_id)`

List environment variables for a service.

Parameters:

platform (string): Platform name
service_id (string): Service/project ID

Returns:

{
  "success": true,
  "platform": "vercel",
  "env_vars": {"KEY": "value"},
  "count": 5
}

5. `set_env_var(platform, service_id, key, value)`

Update an environment variable.

Parameters:

platform (string): Platform name
service_id (string): Service/project ID
key (string): Environment variable name
value (string): Environment variable value

Returns:

{
  "success": true,
  "message": "Environment variable set successfully"
}

6. `trigger_redeploy(platform, service_id)`

Force redeploy a service.

Parameters:

platform (string): Platform name
service_id (string): Service/project ID

Returns:

{
  "success": true,
  "deployment_id": "dpl_new",
  "message": "Redeploy triggered successfully"
}

7. `get_build_logs(platform, deploy_id)`

Fetch build logs for a deployment.

Parameters:

platform (string): Platform name
deploy_id (string): Deployment ID

Returns:

{
  "success": true,
  "logs": [...],
  "count": 50
}

8. `check_health(url)`

Ping a health endpoint.

Parameters:

url (string): URL to check

Returns:

{
  "success": true,
  "status_code": 200,
  "healthy": true,
  "response_time_ms": 142
}

9. `rollback_deploy(platform, service_id, version)`

Rollback to a previous deployment version.

Parameters:

platform (string): Platform name
service_id (string): Service/project ID
version (string): Version/deployment ID to rollback to

Returns:

{
  "success": false,
  "error": "Rollback not yet implemented for this platform"
}

Environment Variables

Configure platform API access via environment variables:

# Vercel
VERCEL_TOKEN=your_vercel_token

# Render
RENDER_API_KEY=your_render_api_key

# Railway
RAILWAY_TOKEN=your_railway_token

# Fly.io
FLY_API_TOKEN=your_fly_api_token

# Payment (optional)
X402_WALLET_ADDRESS=0x8E844a7De89d7CfBFe9B4453E65935A22F146aBB

Get your API tokens:

Vercel: https://vercel.com/account/tokens
Render: https://dashboard.render.com/u/settings#api-keys
Railway: https://railway.app/account/tokens
Fly.io: Run flyctl auth token

Development

Local Setup

# Clone repo
git clone https://github.com/aparajithn/agent-deploy-dashboard-mcp.git
cd agent-deploy-dashboard-mcp

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -e ".[dev]"

# Set environment variables
export VERCEL_TOKEN=your_token
export RENDER_API_KEY=your_key

# Run server
uvicorn src.main:app --reload --port 8080

Test Endpoints

# Health check
curl http://localhost:8080/health

# List services (requires platform tokens)
curl http://localhost:8080/api/v1/list_all_services

# Test MCP protocol
curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'

# List MCP tools
curl -X POST http://localhost:8080/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

Docker

# Build
docker build -t agent-deploy-dashboard-mcp .

# Run
docker run -p 8080:8080 \
  -e VERCEL_TOKEN=your_token \
  -e RENDER_API_KEY=your_key \
  -e PUBLIC_HOST=localhost \
  agent-deploy-dashboard-mcp

Deployment on Render

Via Web UI

Fork this repo to your GitHub account
Go to Render Dashboard
Click New → Web Service
Connect your GitHub repo: aparajithn/agent-deploy-dashboard-mcp
Configure:
- Name: agent-deploy-dashboard-mcp
- Runtime: Docker
- Region: Oregon (or closest)
- Instance Type: Free
Add environment variables:
- VERCEL_TOKEN
- RENDER_API_KEY
- RAILWAY_TOKEN (optional)
- FLY_API_TOKEN (optional)
- X402_WALLET_ADDRESS (optional)
- PUBLIC_HOST = agent-deploy-dashboard-mcp.onrender.com
Click Create Web Service

Via Render API

curl -X POST https://api.render.com/v1/services \
  -H "Authorization: Bearer $RENDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "web_service",
    "name": "agent-deploy-dashboard-mcp",
    "repo": "https://github.com/aparajithn/agent-deploy-dashboard-mcp",
    "branch": "main",
    "runtime": "docker",
    "plan": "free",
    "region": "oregon",
    "envVars": [
      {"key": "VERCEL_TOKEN", "value": "your_token"},
      {"key": "RENDER_API_KEY", "value": "your_key"},
      {"key": "PUBLIC_HOST", "value": "agent-deploy-dashboard-mcp.onrender.com"}
    ]
  }'

Architecture

agent-deploy-dashboard-mcp/
├── src/
│   ├── main.py              # FastMCP server + REST API
│   ├── tools/
│   │   ├── platforms.py     # Platform API clients (Vercel, Render, etc)
│   │   └── deploy_tools.py  # Tool implementations
│   └── middleware/
│       ├── rate_limit.py    # Rate limiting
│       └── x402.py          # Payment middleware
├── Dockerfile
├── pyproject.toml
└── README.md

Tech Stack

Python 3.11 — Modern async/await
FastAPI — REST API framework
FastMCP — MCP protocol implementation (Streamable HTTP)
httpx — Fast async HTTP client
Pydantic — Data validation

API Reference Docs

Once deployed, view interactive API docs at:

Swagger UI: https://agent-deploy-dashboard-mcp.onrender.com/docs
OpenAPI JSON: https://agent-deploy-dashboard-mcp.onrender.com/openapi.json

License

MIT License — see LICENSE for details.

Support

Issues: GitHub Issues
Email: aparajith@dabaracoffee.com

Built for AI agents by Forge (Aparajith's coding agent) 🤖

Agent Deploy Dashboard MCP Server

Features

Quick Start

MCP Configuration

REST API

List All Services

Get Deploy Status

Tail Logs

Get Environment Variables

Set Environment Variable

Trigger Redeploy

Get Build Logs

Check Health

Pricing

Free Tier

Paid Tier (HTTP 402 Payment)

Platform Support

Tools Reference

1. list_all_services()

2. get_deploy_status(platform, service_id)

3. tail_logs(platform, service_id, lines=100)

4. get_env_vars(platform, service_id)

5. set_env_var(platform, service_id, key, value)

6. trigger_redeploy(platform, service_id)

7. get_build_logs(platform, deploy_id)

8. check_health(url)

9. rollback_deploy(platform, service_id, version)

Environment Variables

Development

Local Setup

Test Endpoints

Docker

Deployment on Render

Via Web UI

Via Render API

Architecture

Tech Stack

API Reference Docs

License

Support

Resources

Latest Blog Posts

MCP directory API

1. `list_all_services()`

2. `get_deploy_status(platform, service_id)`

3. `tail_logs(platform, service_id, lines=100)`

4. `get_env_vars(platform, service_id)`

5. `set_env_var(platform, service_id, key, value)`

6. `trigger_redeploy(platform, service_id)`

7. `get_build_logs(platform, deploy_id)`

8. `check_health(url)`

9. `rollback_deploy(platform, service_id, version)`