7a:T510,ModelRunner is a hosted remote MCP (Model Context Protocol) server that lets AI assistants like Claude and Cursor run 100+ AI models — 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 Kling, HiDream, Hunyuan Image, Stable Audio, and Rodin. 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. Unlike single-vendor MCP servers, ModelRunner aggregates models from multiple providers behind one endpoint and one billing account — pay-per-use credits, no subscription. Authorization is OAuth 2.1: your assistant opens a browser window once; no API key is ever pasted into a config file. Beyond inference, the server can upload local files for use as model inputs and author reusable "wrappers" — simplified, purpose-built interfaces over base models. Endpoint: https://mcp.modelrunner.run/mcp (Streamable HTTP; registry name ai.modelrunner/mcp) Setup and full tool reference: ModelRunner MCP setup guide · GitHub7b:T510,ModelRunner is a hosted remote MCP (Model Context Protocol) server that lets AI assistants like Claude and Cursor run 100+ AI models — 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 Kling, HiDream, Hunyuan Image, Stable Audio, and Rodin. 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. Unlike single-vendor MCP servers, ModelRunner aggregates models from multiple providers behind one endpoint and one billing account — pay-per-use credits, no subscription. Authorization is OAuth 2.1: your assistant opens a browser window once; no API key is ever pasted into a config file. Beyond inference, the server can upload local files for use as model inputs and author reusable "wrappers" — simplified, purpose-built interfaces over base models. Endpoint: https://mcp.modelrunner.run/mcp (Streamable HTTP; registry name ai.modelrunner/mcp) Setup and full tool reference: ModelRunner MCP setup guide · GitHub6b:[["$","title","0",{"children":"ModelRunner - MCP | Smithery"}],["$","meta","1",{"name":"description","content":"$7a"}],["$","link","2",{"rel":"manifest","href":"/manifest.webmanifest","crossOrigin":"$undefined"}],["$","meta","3",{"property":"og:title","content":"ModelRunner - MCP"}],["$","meta","4",{"property":"og:description","content":"$7b"}],["$","meta","5",{"property":"og:url","content":"https://smithery.ai/servers/modelrunner/modelrunner-mcp"}],["$","meta","6",{"property":"og:site_name","content":"Smithery"}],["$","meta","7",{"property":"og:image","content":"https://smithery.ai/servers/modelrunner/modelrunner-mcp/opengraph-image"}],["$","meta","8",{"property":"og:image:width","content":"1200"}],["$","meta","9",{"property":"og:image:height","content":"630"}],["$","meta","10",{"property":"og:image:alt","content":"ModelRunner - MCP"}],["$","meta","11",{"property":"og:type","content":"website"}],"$L7c","$L7d","$L7e","$L7f","$L80","$L81","$L82"] 63:null