NEWMCP Native Infrastructure Server v2.0 is live for Claude & Cursor
AI-Native Runtime Platform

Instant One-Click Runtime for  — Built for AI Agents.

The default runtime for AI-generated software. ProductEcho provisions databases, configures environments, and deploys your code automatically—directly from your AI chat.

See How It Works

No credit card required. Built for MCP & Claude-ready apps.

Native MCP Protocol
Auto-PostgreSQL
Instant HTTPS URLs
claude_desktop_config.json
{
  "mcpServers": {
    "product-echo": {
      "command": "npx",
      "args": ["-y", "@product-echo/mcp-server@latest"],
      "env": {
        "PRODUCT_ECHO_API_KEY": "pe_live_9f8a37b12..."
      }
    }
  }
}
Claude Ready

Native Integration with the AI Tools You Already Use

[ Claude / Anthropic ]
[ Cursor ]
[ ChatGPT ]
[ Model Context Protocol (MCP) ]
[ GitHub ]
The Infrastructure Bottleneck

AI Writes Code in Minutes. Why Does Deploying Still Take Hours?

You prompt Claude or ChatGPT, get working code, and then... hit a brick wall.

Traditional Deployment NightmareHours Wasted
  • Spent 45 minutes setting up a PostgreSQL database.
  • Writing Dockerfiles and Kubernetes manifests.
  • Wrestling with environment variables and SSL certificates.
  • Opening 5 different cloud dashboards just to publish a simple prototype.
Status: Blocked by Kubernetes configs & Manual DB Provisioning
The ProductEcho AI-Native Runtime2 Minutes
  • PostgreSQL auto-provisioned instantly with connection string auto-injected.
  • Zero Dockerfiles, Zero Kubernetes manifests, Zero cloud dashboards.
  • Automatic TLS/SSL certificates and instant HTTPS domain generation.
  • Trigger live deployments directly inside Claude or Cursor via MCP tools.
MCP Protocol Active100% Automated
Core Capabilities

Everything Your AI Agent Needs to Deploy

Designed specifically for AI-generated applications and autonomous agent execution.

Built for Agentic Workflows

Autonomous MCP Deployment

Connect ProductEcho to Claude via MCP and let your agent deploy apps, manage databases, and view logs.

Model Context Protocol (MCP) Server
Zero UI required — Chat to Deploy
Instant Provisioning

Databases & APIs on Demand

Provision PostgreSQL, Redis, and backend services automatically with connection strings injected for you.

Postgres, Redis, Storage ready
30-second setup, auto-injected secrets
Instant Live Sharing

Instant HTTPS URLs

Get a secure public URL as soon as your app is ready. No DNS or SSL configuration required.

Custom *.ProductEcho.run subdomains
Automatic SSL & Custom DNS
Secure by Default

Isolated Agent Sandboxes

Run agent-generated code in isolated sandboxes, keeping workloads separated and your infrastructure protected.

Isolated, sandboxed environments
Safe execution for AI-generated code
Pricing

Simple, Transparent Pricing

Start free. Upgrade as your agents ship more.

GitHub integration— every plan
Agent environments— every plan
Bring your own model (BYOM)— every plan

Free

For trying ProductEcho out.

$0
Projects1
Active environments / project
Database1 GB
Object storage5 GB
Custom domains0
Sandbox max duration10 min
SupportCommunity

Builder

For solo builders shipping real prototypes.

$5/mo
Projects2
Active environments / project2
Database2 GB
Object storage25 GB
Custom domains1
Sandbox max duration1 hr
SupportEmail
Most Popular

Pro

For agents deploying production workloads.

$15/mo
Projects3
Active environments / project3
Database10 GBExtendable, no downtime
Object storage100 GB
Custom domains2
Sandbox max duration24 hr
SupportPriority email

Team

For teams collaborating on agentic infrastructure.

$50/mo
Projects10
Active environments / project3
Database50 GBExtendable, no downtime
Object storage500 GB
Custom domains3
Sandbox max duration7 days
SupportPriority
Team collaboration
SSO / RBAC

Enterprise

Custom projects, databases, storage, and domains — with private networking and a dedicated support team.

Custom limits on everything
Private networking
Dedicated support
Seamless Workflow

How ProductEcho Works

Go from an initial prompt to a running, shareable cloud application in 3 simple steps.

1Step 1: Prompt

Ask Claude or ChatGPT for your app

Claude initialized code generation...
2Step 2: Provision

ProductEcho creates database & runtime

PostgreSQL + runtime ready
3Step 3: Share

Get a live HTTPS URL instantly

https://crm-demo.ProductEcho.run
1

Prompt Your Agent

Ask Claude or Cursor to write your backend, frontend, or autonomous agent workflow.

Phase 1 of 3
2
MCP API (30 Sec)

One-Click Provisioning

Your AI agent (or you via the dashboard) calls the ProductEcho MCP tool. Infrastructure and database setup happen automatically.

Phase 2 of 3
3

Receive & Share Live URL

Get a public HTTPS link in minutes. Iterate instantly as your AI updates the app.

Phase 3 of 3
ProductEcho Interactive MCP Simulator
Click "Run Simulated Prompt" above to watch an agent deploy a database & app in real-time.
Dual Control Plane

Designed for Humans. Built for Agents.

Humans get a beautiful visual interface. Autonomous AI agents get programmatic MCP tools. Both work on the same live environment.

For AI Agents

Model Context Protocol (MCP) Interface

● MCP Tool Listener Active

Operates silently via our robust MCP Server. Agents view logs, restart apps, and handle deployments programmatically.

// Sample MCP Tool Invocation from Claude
{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "mcp__product_echo__deploy_app",
    "arguments": {
      "appName": "crm-backend",
      "dbType": "postgresql",
      "autoInjectEnv": true
    }
  }
}
Programmatic Logs
1-Click Restarts
Automated Secrets
Objection Handling

Frequently Asked Questions

Everything you need to know about deploying AI-generated software with ProductEcho.

A:Each plan includes compute, database, storage, and sandbox usage. Higher tiers give you more capacity, environments, and team features.
AI-Native Runtime Ready

Stop Provisioning. Start Shipping.

Join developers and AI agents launching applications in minutes, not hours.

Free tier available. Deploy your first app in under 2 minutes.