agent-deploy-dashbaord
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.
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
Related MCP server: Daemoon
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_servicesResponse:
{
"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:
0x8E844a7De89d7CfBFe9B4453E65935A22F146aBBInclude
X-Paymentheader 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, orflyservice_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 nameservice_id(string): Service/project IDlines(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 nameservice_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 nameservice_id(string): Service/project IDkey(string): Environment variable namevalue(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 nameservice_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 namedeploy_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 nameservice_id(string): Service/project IDversion(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=0x8E844a7De89d7CfBFe9B4453E65935A22F146aBBGet your API tokens:
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 8080Test 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-mcpDeployment 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-mcpConfigure:
Name:
agent-deploy-dashboard-mcpRuntime: Docker
Region: Oregon (or closest)
Instance Type: Free
Add environment variables:
VERCEL_TOKENRENDER_API_KEYRAILWAY_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.mdTech 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/docsOpenAPI 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) 🤖
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
Flicense-qualityFmaintenanceAgentic cloud platform with 45+ MCP tools. Deploy any containerized stack, debug live pods (shell, file editing, DB queries), manage custom domains & TLS, push to built-in container registry, scale pods, and manage GPU workloads. The infrastructure layer where AI agents ship software to production.Last updated8- Alicense-qualityBmaintenanceGives AI coding agents (Claude Code, Cursor, etc.) unified, secure access to dev infrastructure (Vercel, GitHub, Supabase, Cloudflare, GCP) via a single MCP token.Last updatedMIT

Daemoonofficial
Alicense-qualityBmaintenanceEnables AI coding agents to access and manage multiple dev infrastructure providers (Vercel, GitHub, Supabase, Cloudflare, GCP) through a single MCP token and unified API.Last updatedMIT- AlicenseAqualityDmaintenanceAgent-native hosting: your agent deploys any folder to a live URL in one command — no account, no dashboard, no CAPTCHA — and hands the human a link plus a plain-language summary. Full deploy lifecycle as MCP tools (deploy, verify, logs, inspect, rollback), production approval human-only; static sites and full Node.js apps, open source (Apache-2.0).Last updated13Apache 2.0
Related MCP Connectors
One PAT, any MCP agent: Vercel, GitHub, Cloudflare, Supabase, GCP — unified dev infra gateway.
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
Free public MCP for AI agents — 193 tools, 44 workflows. No API key.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/aparajithn/agent-deploy-dashboard-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server