# uitars-mcp

> uitars-mcp — sandraschi-uitars-mcp. Use this tool when you need to manage and deploy UI-TARS VLM projects quickly and efficiently. It solves problems related to version control and collaboration by integrating a FastMCP 3.2 server with a web application, accepting Git inputs and providing a streamlined interface for developers. Ideal for use cases requiring rapid deployment and management of UI-TARS projects, with outputs including streamlined version control and collaborative workflows.

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

## Description

Desktop + browser GUI agent MCP server. VLM-powered automation: screenshot → vision model → mouse/keyboard/Playwright actions. 9 MCP tools. Fits RTX 4090.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sandraschi/uitars-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": "sandraschi-uitars-mcp"
    }
  }
}
```

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