# 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, streamlining data analysis, and providing a unified interface for multiple AI tasks. With inference.sh, you can input various data types and receive streamed results, making it ideal for use cases that require flexible and efficient AI processing.

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

## Description

run any ai model. compose agents, stack knowledge, connect tools. one api, pay per run.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

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

## Use it

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

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-mcp"
    }
  }
}
```

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