# inference.sh

> Use this tool when you need to run a wide range of AI applications, including image, video, audio, and language models, to analyze and process various types of data. It solves problems such as automating AI workflows, streaming results, and executing multiple AI tasks from a single interface. With support for 150+ AI apps, it takes in various data formats as input and outputs processed results, making it ideal for use cases that require versatile and efficient AI processing.

Canonical page: https://skillsregistry.net/skills/ac-inference-sh-inference  
JSON: https://api.skillsregistry.net/v1/skills/ac-inference-sh-inference

## Description

Run 150+ AI apps — image, video, audio, LLMs, 3D and more. Browse, execute, stream results.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-10

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ac.inference.sh%2Finference)

## Use it

MCP endpoint published by the skill: `https://sh.inference.ac`

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": "ac-inference-sh-inference"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ac-inference-sh-inference` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ac-inference-sh-inference/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