ModelRunner
Run 100+ AI models — image, video, audio, 3D — through one API with pay-per-use billing.
Que pouvez-vous faire avec ModelRunner ?
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http modelrunner 'https://mcp.modelrunner.run/mcp'
{
"mcpServers": {
"modelrunner": {
"type": "http",
"url": "https://mcp.modelrunner.run/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
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.
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
| 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:
- Text-to-Image API · Image-to-Image API
- Text-to-Video API · Image-to-Video API · Video-to-Video API
- Music Generation API · Speech-to-Text API
- Image-to-3D API
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
Questions fréquentes
Qu'est-ce que ModelRunner ?
Run 100+ AI models — image, video, audio, 3D — through one API with pay-per-use billing.
Comment installer ModelRunner ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http modelrunner 'https://mcp.modelrunner.run/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour ModelRunner ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
ModelRunner est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient ModelRunner ?
Il est publié par modelrunner. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.