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ModelRunner

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ModelRunner is a hosted remote MCP server that lets AI assistants run 100+ AI models. One connection exposes every model as a callable tool: search the catalog,

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Описание

ModelRunner is a hosted remote MCP server that lets AI assistants run 100+ AI models. One connection exposes every model as a callable tool: search the catalog, inspect a model's input schema, run inference with run_model, and get results back as hosted URLs directly in the conversation.

README

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.

License

MIT

from github.com/modelrunner/modelrunner-mcp

Установка ModelRunner

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/modelrunner/modelrunner-mcp

FAQ

ModelRunner MCP бесплатный?

Да, ModelRunner MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для ModelRunner?

Нет, ModelRunner работает без API-ключей и переменных окружения.

ModelRunner — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить ModelRunner в Claude Desktop, Claude Code или Cursor?

Открой ModelRunner на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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