# ModelRunner

> ModelRunner — modelrunner-modelrunner-mcp. Use this tool when you need to leverage a wide range of AI models for various tasks, such as natural language processing, computer vision, and more. ModelRunner solves problems by providing a unified interface to access and run over 100 AI models, streamlining the process of searching, inspecting, and executing models. It takes in model selection and input data, and outputs hosted URLs with inference results, making it ideal for use cases that require flexible and scalable AI model deployment.

Canonical page: https://skillsregistry.net/skills/modelrunner-modelrunner-mcp  
JSON: https://api.skillsregistry.net/v1/skills/modelrunner-modelrunner-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t0e58te9dd)
- **Repository:** <https://github.com/modelrunner/modelrunner-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "modelrunner-modelrunner-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/modelrunner-modelrunner-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/modelrunner-modelrunner-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt