Yes, Modelrunner is free to use.

How do I install Modelrunner?

Modelrunner is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Modelrunner safe to use?

Yes. Modelrunner passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Modelrunner?

Modelrunner uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Modelrunner MCP Server

by Modelrunner

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Run 100+ AI models — image, video, audio, 3D — through one API with pay-per-use billing.

About

Run 100+ AI models — image, video, audio, 3D — through one API with pay-per-use billing.

Remote endpoints: streamable-http: https://mcp.modelrunner.run/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

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

Documentation

View on GitHub

From the project's GitHub README.

ModelRunner MCP Server

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.

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

Group	Tools
Discover & inspect	`search`, `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 & fetch	`run_model`, `wait_for_request`, `get_request`, `list_my_requests`
Upload files	`create_upload_url`, `upload_file`
Author wrappers	`wrapper_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.

Landing page: modelrunner.ai/mcp
Docs: modelrunner.ai/docs
Model catalog: modelrunner.ai/models

License

MIT

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Modelrunner MCP Server

About

Security Report

Findings (1)

Permissions Required

How to Connect

Documentation

ModelRunner MCP Server

Quick start

Claude Code

Cursor / VS Code (native remote URL)

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

Tools

Models & capabilities

Pricing

About this repository

License

Reviews

No reviews yet

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Git

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