# OmniMCP

> Use this tool when you need to enable AI models to interact with user interfaces, providing rich UI context and capabilities for visual analysis and precise interaction. OmniMCP solves problems of UI understanding and automation, allowing for seamless integration with AI models through the Model Context Protocol. It takes in UI data and outputs actionable insights, ideal for use cases requiring human-like interaction with digital interfaces.

Canonical page: https://skillsregistry.net/skills/openadaptai-omnimcp  
JSON: https://api.skillsregistry.net/v1/skills/openadaptai-omnimcp

## Description

A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gf61tqx1fu)
- **Repository:** <https://github.com/OpenAdaptAI/OmniMCP>

## 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": "openadaptai-omnimcp"
    }
  }
}
```

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