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Leonardo AI

MCP (Model Context Protocol) Server. Integrates with Leonardo AI's image generation platform for creating custom images with specific models, checking job status, and managing generation history through the Leonardo API.

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Jan 11, 2026

Leonardo MCP Server

A Model Context Protocol (MCP) server for Leonardo AI, supporting both HTTP and stdio modes.

Features

  • Create image generation jobs with Leonardo AI
  • See available models
  • Check the status of image generation jobs
  • Get all the user's image generation jobs
  • Supports both HTTP and stdio transports

Installation

JSON Config

Support for Claude Desktop, Cursor and other MCP clients that use JSON config files.

[!IMPORTANT]
You will need to generate a Leonardo API key and set it in the environment variable LEONARDO_API_KEY before running the server.

{
  "mcpServers": {
    "leonardo-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ish-joshi/leonardo-mcp-server",
        "leonardo-mcp-server",
        "stdio"
      ],
      "env": {
        "LEONARDO_API_KEY": "YOUR_LEONARDO_API_KEY"
      }
    }
  }
}

Demo

IMAGE ALT TEXT HERE

Running Modes

This server supports two modes:

  • HTTP mode (default):
    • Suitable for remote clients (e.g., ChatGPT Playground, browser-based tools).
    • The server runs an HTTP endpoint. You must expose it to the internet if your client is remote.
  • Stdio mode:
    • Suitable for local clients that communicate over standard input/output (stdio).
    • No network port is opened.

HTTP Mode (for remote clients)

Start the server in HTTP mode (default):

uvx --from git+https://github.com/ish-joshi/leonardo-mcp-server leonardo-mcp-server

If your client is remote (e.g., ChatGPT Playground), you must expose your local server to the internet. You can use ngrok or a similar tunneling tool:

ngrok http 8080

Copy the public URL from ngrok and use it as the endpoint in your client.

Stdio Mode (for local clients)

Start the server in stdio mode:

uvx --from git+https://github.com/ish-joshi/leonardo-mcp-server leonardo-mcp-server stdio

Environment Variables

  • LEONARDO_API_KEY (required): Your Leonardo AI API key.

Development

  • Edit main.py to add or modify MCP tools.
  • Run using python main.py and test with a compatible MCP client. I prefer to use 5ire MCP client for testing.
  • See python-sdk documentation for more info.

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