Piapi MCP Server

@MCP-Mirror

代码仓库

基本信息

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其他

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stdio

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MCP-Mirror

关于 Piapi MCP Server

Mirror of

#piapi#mcp-server#media-generation

Piapi MCP Server 配置

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Piapi MCP Server 工具

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概览

What is piapi-mcp-server?

piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI’s API. It allows users to generate media content (images, video, music, 3D models) directly from Claude or any MCP-compatible app, using services like Midjourney, Flux, Kling, LumaLabs, Udio, Chrip, and Trellis.

How to use piapi-mcp-server?

Clone the repository, install dependencies with npm install, set your PiAPI API key in a .env file (PIAPI_API_KEY=your_key_here), then build with npm run build. Start the server with npm start. To use with Claude Desktop, add the server configuration to your claude_desktop_config.json file specifying the path to dist/index.js and your API key.

Key features of piapi-mcp-server

Generate Flux images from text descriptions
Works with Claude Desktop and other MCP-compatible apps
Easy setup with Node.js and npm
Uses PiAPI’s unified API key authentication
Built in TypeScript with a clean project structure

Use cases of piapi-mcp-server

Generate AI images directly from a conversation in Claude Desktop
Incorporate Flux text‑to‑image generation into custom MCP workflows
Rapidly prototype media generation without switching between tools

常见问题

What does piapi-mcp-server do that alternatives don’t?

It provides a direct MCP integration for PiAPI’s media generation APIs, enabling image, video, music, and 3D model generation from any MCP‑compatible client like Claude Desktop. Currently only Flux text‑to‑image is implemented; other features are planned.

What are the runtime requirements?

Node.js 16.x or higher and npm or yarn are required. A PiAPI API key (free from piapi.ai) must be provided via environment variable.

Where does the media data live?

The server acts as a proxy to PiAPI’s cloud APIs. Generated content is delivered by the PiAPI service; no media is stored locally by the server.

What transport or authentication does it use?

The server uses standard MCP transport (stdio). Authentication is handled via a PiAPI API key set in the `PIAPI_API_KEY` environment variable or in the Claude Desktop config’s `env` block.

Are there any known limitations?

Only Flux image generation from text descriptions is currently available. Other planned features (Midjourney, Kling, Luma, Suno/Udio, Trellis, etc.) are not yet implemented.

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