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piapi-mcp-server

MCP.Pizza Chef: apinetwork

piapi-mcp-server is a TypeScript-based Model Context Protocol (MCP) server that connects with PiAPI's API to enable seamless media content generation. It supports popular AI media tools like Midjourney, Flux, Kling, LumaLabs, Udio, Chrip, and Trellis, allowing users to create images and videos directly from Claude or any MCP-compatible application. This server facilitates real-time, AI-powered media creation workflows within the MCP ecosystem, enhancing creative automation and integration. While it supports a base image toolkit and more features are planned, some time-intensive tasks like video generation may be limited by model timeout constraints.

Use This MCP server To

Generate AI media content from MCP-compatible apps Integrate Midjourney image generation into workflows Automate media creation using Flux and Kling tools Create videos with LumaLabs and Udio via MCP Invoke Chrip and Trellis for advanced media tasks Enable Claude to control media generation pipelines

README

piapi-mcp-server

Website Documentation Discord

A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Trellis directly from Claude or any other MCP-compatible apps.

PiAPI-Server MCP server

Features (more coming soon)

Note: Time-consuming tools like video generation may not complete due to Claude's timeout limitations

  • Base Image toolkit
  • Base Video toolkit
  • Flux Image generation from text/image prompt
  • Hunyuan Video generation from text/image prompt
  • Skyreels Video generation from image prompt
  • Wan Video generation from text/image prompt
  • MMAudio Music generation from video
  • TTS Zero-Shot voice generation
  • Midjourney Image generation
    • imagine
    • other
  • Kling Video and Effects generation
  • Luma Dream Machine video generation
  • Suno Music generation
  • Suno Lyrics generation
  • Udio Music and Lyrics generation
  • Trellis 3D model generation from image
  • Workflow planning inside LLMs

Working with Claude Desktop Example

image

Prerequisites

  • Node.js 16.x or higher
  • npm or yarn
  • A PiAPI API key (get one at piapi.ai)

Installation

  1. Clone the repository:
git clone https://github.com/apinetwork/piapi-mcp-server
cd piapi-mcp-server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

After building, a dist/index.js file will be generated. You can then configure this file with Claude Desktop and other applications. For detailed configuration instructions, please refer to the Usage section.

  1. (Optional) Test server with MCP Inspector:

First, create a .env file in the project root directory with your API key:

PIAPI_API_KEY=your_api_key_here

Then run the following command to start the MCP Inspector:

npm run inspect

After running the command, MCP Inspector will be available at http://localhost:5173 (default port: 5173). Open this URL in your browser to start testing. The default timeout for inspector operations is 10000ms (10 seconds), which may not be sufficient for image generation tasks. It's recommended to increase the timeout when testing image generation or other time-consuming operations. You can adjust the timeout by adding a timeout parameter to the URL, for example: http://localhost:5173?timeout=60000 (sets timeout to 60 seconds)

The MCP Inspector is a powerful development tool that helps you test and debug your MCP server implementation. Key features include:

  • Interactive Testing: Test your server's functions directly through a web interface
  • Real-time Feedback: See immediate results of your function calls and any errors that occur
  • Request/Response Inspection: View detailed information about requests and responses
  • Function Documentation: Browse available functions and their parameters
  • Custom Parameters: Set custom timeout values and other configuration options
  • History Tracking: Keep track of your previous function calls and their results

For detailed information about using the MCP Inspector and its features, visit the official MCP documentation.

Usage

Connecting to Claude Desktop

Add this to your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "piapi": {
      "command": "node",
      "args": ["/absolute/path/to/piapi-mcp-server/dist/index.js"],
      "env": {
        "PIAPI_API_KEY": "your_api_key_here"
      }
    }
  }
}

After updating your configuration file, you need to restart Claude for Desktop. Upon restarting, you should see a hammer icon in the bottom right corner of the input box. For more detailed information, visit the official MCP documentation

Connecting to Cursor

Note: Following guide is based on Cursor 0.47.5. Features and behaviors may vary in different versions.

To configure the MCP server:

  1. Navigate to: File > Preferences > Cursor Settings, or use the shortcut key Ctrl+Shift+J
  2. Select "MCP" tab on the left panel
  3. Click "Add new global MCP server" button in the top right
  4. Add your configuration in the opened mcp.json file
{
  "mcpServers": {
    "piapi": {
      "command": "node",
      "args": ["/absolute/path/to/piapi-mcp-server/dist/index.js"],
      "env": {
        "PIAPI_API_KEY": "your_api_key_here"
      }
    }
  }
}
  1. After configuration, you'll see a "piapi" entry in MCP Servers page
  2. Click the Refresh button on the entry or restart Cursor to connect to the piapi server

To test the piapi image generation:

  1. Open and select "Agent mode" in Cursor Chat, or use the shortcut key Ctrl+I
  2. Enter a test prompt, for example: "generate image of a dog"
  3. The image will be generated based on your prompt using piapi server

To disable the piapi server:

  1. Navigate to the MCP Servers page in Cursor Settings
  2. Find the "piapi" entry in the server list
  3. Click the "Enabled" toggle button to switch it to "Disabled"

Development

Project Structure

piapi-mcp-server/
├── assets/
├── src/
│   ├── index.ts        # Main server entry point
├── package.json
├── tsconfig.json
└── .env.example

License

MIT

piapi-mcp-server FAQ

How do I install piapi-mcp-server?
You can install piapi-mcp-server by cloning its GitHub repository and following the TypeScript setup instructions provided in the documentation at piapi.ai/docs.
Can piapi-mcp-server work with LLMs other than Claude?
Yes, piapi-mcp-server is compatible with any MCP-compliant LLMs, including OpenAI's GPT-4, Anthropic's Claude, and Google's Gemini.
What media generation tools does piapi-mcp-server support?
It supports Midjourney, Flux, Kling, LumaLabs, Udio, Chrip, and Trellis for image and video content generation.
Are there any limitations on media generation tasks?
Yes, time-consuming tasks like video generation may not complete due to timeout limits imposed by some LLMs such as Claude.
How do I integrate piapi-mcp-server with my MCP client?
Integration involves configuring your MCP client to connect to the piapi-mcp-server endpoint and using the provided API to invoke media generation commands.
Is there documentation and community support available?
Yes, detailed documentation is available at piapi.ai/docs, and community support can be accessed via their Discord channel.
Does piapi-mcp-server support real-time media generation?
It supports real-time media generation within the constraints of the underlying LLM's timeout and processing capabilities.
Can I extend piapi-mcp-server with additional media tools?
The server is implemented in TypeScript and designed for extensibility, allowing developers to add support for new media generation tools.