Connect Any REST API to AI Agents in 60 Seconds

The Problem

AI agents are powerful, but they can only interact with the outside world through tools. If your data lives behind a REST API, the agent cannot access it unless someone builds an MCP server as a bridge. Traditionally, this means:

• -Writing MCP server boilerplate (tool definitions, JSON Schema, transport layer)
• -Handling authentication, error mapping, and rate limiting
• -Setting up hosting, SSL, and monitoring
• -Auditing for security vulnerabilities (82% of MCP servers fail this)

The Micipi Solution

Describe your API in plain language. Micipi generates a secure MCP server, scans it for vulnerabilities, and deploys it to the edge in under 60 seconds.

Example: Weather API to MCP Server

Here is how you would connect the OpenWeatherMap API to AI agents:

1. Describe what you want

Create an MCP server that connects to the
OpenWeatherMap API. It should have two tools:

1. get_current_weather(city) - returns current
   temperature, humidity, and conditions
2. get_forecast(city, days) - returns a multi-day
   forecast with highs and lows

2. AI generates the server

Micipi generates a complete MCP server with proper tool definitions, input validation, API key management, error handling, and response formatting. The code appears in the editor for review.

3. Deploy and connect

Click Deploy, then add the gateway URL to your AI client:

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://gateway.micipi.com/s/my-weather-server",
        "--header",
        "Authorization:${AUTH_TOKEN}"
      ],
      "env": {
        "AUTH_TOKEN": "Bearer mcp_abc123"
      }
    }
  }
}

4. Use naturally

Ask Claude "What is the weather like in Tokyo this week?" and it will automatically call your forecast tool and present the results.

Popular API Connections