ModelRunner MCP Server

MCP serverMedia

Once added, your AI can run more than 100 AI models for image, video, audio, and 3D work through a single connection. Billing is pay-per-use, so you only pay for the model runs you actually make. That means media tasks no longer require setting up each model on its own.

Available today. Use it from your connected AI after setup.

Add the app and ask your AI to run a model for a media task you have in mind. Start with the type that fits the job, whether that is image, video, audio, or 3D.

Then ask your AI: use ModelRunner MCP Server

What your AI can do with it

  • Run any of over 100 AI models covering image, video, audio, and 3D work
  • Reach every model through one connection instead of separate setups
  • Match the model to the task, whether it involves images, video, audio, or 3D
  • Keep costs tied to usage, paying only for runs that happen

From the project's README

As published by modelrunner/modelrunner-mcp in README.md.

Official Model Context Protocol (MCP) server for ModelRunner — run 100+ AI models across image, video, audio, and 3D generation from Claude, Cursor, and any MCP client.

  • Endpoint: https://mcp.modelrunner.run/mcp (remote server, Streamable HTTP)
  • Auth: OAuth 2.1 — your browser authorizes once; no API key is pasted into config
  • Registry name: ai.modelrunner/mcp
  • Setup guide & full tool reference: modelrunner.ai/mcp

Unlike single-vendor MCP servers, one connection exposes the entire ModelRunner catalog — models from multiple AI providers behind one endpoint and one pay-per-use billing account. Your assistant can search the catalog, inspect a model's input schema, run inference, and get results back as hosted URLs directly in the conversation.

Maintaining an open-source project? ModelRunner gives active open-source projects free monthly API credits — apply at modelrunner.ai/oss-program.

Quick start

Claude Code

claude mcp add --transport http modelrunner https://mcp.modelrunner.run/mcp

Cursor / VS Code (native remote URL)

{
  "mcpServers": {
    "modelrunner": { "url": "https://mcp.modelrunner.run/mcp" }
  }
}

Claude Desktop or any stdio-only client (via mcp-remote)

{
  "mcpServers": {
    "modelrunner": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.modelrunner.run/mcp"]
    }
  }
}

On first use your AI assistant opens a browser window to sign in to ModelRunner — that's the whole setup.

Tools

GroupTools
Discover & inspectsearch, list_models, list_wrappers, recommended_models, recommended_wrappers, get_model, get_wrapper, get_model_raw_schema, get_wrapper_raw_schema, get_wrapper_prompt_template, get_wrapper_field_mappings
Run & fetchrun_model, wait_for_request, get_request, list_my_requests
Upload filescreate_upload_url, upload_file
Author wrapperswrapper_authoring_guide, create_wrapper, patch_wrapper, preview_wrapper, list_my_wrappers, delete_wrapper

"Wrappers" are reusable, simplified interfaces you can build over base models — a few friendly inputs, a prompt template, and baked-in settings — and they run through the same run_model-style tools.

Models & capabilities

The catalog covers text-to-image, image-to-image, text-to-video, image-to-video, video-to-video, music generation, speech-to-text, and image-to-3D, including models like Kling, HiDream, Hunyuan Image, Stable Audio, and Rodin. Browse by capability:

Full catalog: modelrunner.ai/models

Pricing

Free to connect. Model runs are pay-per-use from prepaid credits — no subscription. Every model's exact price (per image, per second of video, per megapixel, …) is shown on its model page and on the pricing page.

About this repository

This repository documents the hosted ModelRunner MCP server. The server itself is first-party, run by ModelRunner as a remote MCP endpoint — there is nothing to install or self-host; the configs above are the entire integration.

License

MIT

Signals

Last commit
Sep 2026
Advanced
Delivery
mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
ai-modelrunner-mcp
Source
github.com/modelrunner/modelrunner-mcp
Hosted endpoint
https://mcp.modelrunner.run/mcp