# DeskAgent

> DeskAgent — acestar21-deskagent. Use this tool when you need to host local-first AI models on your desktop, leveraging the Model Context Protocol (MCP) for seamless integration. DeskAgent solves problems related to local AI model deployment, providing a user-friendly interface for managing and interacting with AI tools. It accepts git-based model inputs and outputs user-friendly results, ideal for developers and power users working with local AI models.

Canonical page: https://skillsregistry.net/skills/acestar21-deskagent  
JSON: https://api.skillsregistry.net/v1/skills/acestar21-deskagent

## Description

Experimental desktop reference implementation of a local-first AI tool host using Model Context Protocol (MCP), built with Tauri and a Python sidecar. Windows SmartScreen: This installer is unsigned. Windows may warn that it is unsafe

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Acestar21/DeskAgent)

## 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": "acestar21-deskagent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acestar21-deskagent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acestar21-deskagent/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