PiAPI Media Context Engine

This module presents a robust TypeScript realization of an MCP endpoint, specifically tailored to leverage the PiAPI service infrastructure. PiAPI empowers end-users to commission visual and auditory content via state-of-the-art systems like Midjourney, Flux, Kling, LumaLabs, Udio, Chrip, and Trellis, directly invoked through conversational interfaces such as Claude or any other client adhering to MCP specifications.

Capabilities Inventory (Expansion Imminent)

Critical Notice: Operations involving substantial processing time, such as lengthy video rendering, may encounter termination due to the inherent time constraints imposed by the controlling LLM environment (e.g., Claude's session limits).

• [x] Foundational Imagery manipulation toolkit
• [x] Foundational Video clip manipulation toolkit
• [x] Flux Image synthesis based on textual or visual inputs
• [x] Hunyuan Video creation from text/image seeds
• [x] Skyreels Video rendering from an initial image seed
• [x] Wan Video creation from descriptive text or images
• [x] MMAudio Soundtrack generation derived from video sources
• [x] Zero-Shot Text-to-Speech vocal synthesis
• [ ] Midjourney Imagery production
• [x] 'imagine' primitive invocation
• [ ] Supplementary functions
• [x] Kling Video rendering and supplementary effect processing
• [x] Luma Dream Machine motion sequence generation
• [x] Suno Musical composition generation
• [ ] Suno Lyric sheet composition
• [ ] Udio Music arrangement and accompanying text generation
• [x] Trellis 3D model asset construction from reference images
• [ ] In-context workflow orchestration within Large Language Models

Example Workflow with Claude Desktop

Prerequisites for Operation

• A functioning Node.js runtime, version 16.x or greater.
• Familiarity with either npm or yarn package managers.
• A valid authentication key obtained from the PiAPI access portal (piapi.ai).

Deployment Procedures

Automated Integration via Smithery

To deploy the PiAPI MCP Server to your Claude Desktop instance automatically using Smithery:

npx -y @smithery/cli install piapi-mcp-server --client claude

Manual Build and Configuration

1. Obtain a local copy of the source code repository:

git clone https://github.com/apinetwork/piapi-mcp-server
cd piapi-mcp-server

1. Install required project dependencies:

npm install

1. Compile the source code into executable JavaScript:

npm run build

The resulting operational script will reside at dist/index.js. This file must then be referenced in the configuration of Claude Desktop or other consuming applications. Refer to the Usage section below for specific integration instructions.

1. (Optional) Verification utilizing the MCP Inspector:

First, establish a configuration file named .env within the root directory, supplying your private key:

PIAPI_API_KEY=your_secret_key_here

Then, initiate the inspection utility:

nm run inspect

Upon execution, the MCP Inspector interface will become accessible, typically at http://localhost:5173 (default port). Access this address in a web browser to commence functional validation. Note that the default operational timeout for inspector actions is set to 10000ms (10 seconds), which is often insufficient for tasks like media synthesis. It is strongly advised to augment this timeout parameter in the URL for demanding operations, e.g., http://localhost:5173?timeout=60000 (setting the limit to 60 seconds).

The MCP Inspector serves as a crucial diagnostic utility for developing and debugging MCP server implementations. Its primary advantages include:

• Interactive Validation: Execute server methods directly via a web GUI.
• Immediate Feedback: Observe outcomes and error reports instantly.
• Data Exchange Review: Inspect the full context of inbound requests and outbound responses.
• Function Specification Browsing: Review documentation for exposed functions and required parameters.
• Configuration Flexibility: Adjust operational parameters like request timeouts.
• Session Logging: Maintain a history of executed calls and their resulting states.

For comprehensive guidance on utilizing the MCP Inspector, consult the official MCP documentation.

Operational Deployment

Integration with Claude Desktop

Incorporate the following configuration structure into your Claude Desktop configuration file (e.g., ~/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_secret_key_here"
      }
    }
  }
}

After modifying this file, a restart of the Claude application is necessary. Upon relaunch, an emblem (hammer icon) should appear near the input area, confirming server linkage. For supplementary details, consult the official MCP quickstart guide

Integration with Cursor IDE

Reference Guide based on Cursor version 0.47.5 (compatibility may shift with newer releases):

To set up the MCP interface:

1. Access settings via: File > Preferences > Cursor Settings, or use the key combination Ctrl+Shift+J
2. Select the dedicated "MCP" navigation pane on the left.
3. Initiate the addition of a new global configuration by clicking "Add new global MCP server" in the upper right corner.
4. Input your configuration details into the opened mcp.json file:

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

1. The newly configured "piapi" entry will appear on the MCP Servers management screen.
2. Trigger a connection synchronization by clicking the Refresh icon on the entry, or alternatively, restart the Cursor IDE.

To validate the PiAPI image generation capability within Cursor:

1. Activate "Agent mode" within the Cursor Chat interface, or press Ctrl+I.
2. Provide a descriptive instruction, for instance: "construct an image depicting a canine subject."
3. The resulting visual asset will be synthesized through the connected PiAPI service.

To deactivate the PiAPI service endpoint:

1. Navigate back to the MCP Servers configuration panel in Cursor Settings.
2. Locate the designated "piapi" entry in the listed servers.
3. Toggle the associated "Enabled" switch to the "Disabled" state.

Development Environment Setup

Project Directory Layout

piapi-mcp-server/
├── assets/             # Supporting media assets
├── src/
│   ├── index.ts        # Primary server execution file
├── package.json        # Dependency manifest
├── tsconfig.json       # TypeScript compiler settings
└── .env.example        # Template for environment variables

Licensing

Licensed under the MIT Agreement.

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