# Autonomo MCP

> Use this tool when you need to integrate AI coding assistants with running applications to enable real-time verification and interaction. Autonomo MCP provides live, structured access to app state and UI elements across web, mobile, and desktop platforms, solving problems related to automated testing and debugging. It accepts running app inputs and outputs structured data for AI analysis, ideal for use cases requiring dynamic app interaction and verification.

Canonical page: https://skillsregistry.net/skills/sebringj-autonomo  
JSON: https://api.skillsregistry.net/v1/skills/sebringj-autonomo

## Description

Gives AI coding assistants live, structured access to running apps' state and UI elements, enabling real-time verification and interaction across web, mobile, and desktop.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ovrudqo7bv)
- **Repository:** <https://github.com/gtfodevs/autonomo>

## 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": "sebringj-autonomo"
    }
  }
}
```

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