# AX Local Operations MCP Server

> Use this tool when you need to perform local file operations, execute commands, or manage tasks across multiple platforms, enabling AI models to interact with local systems securely and efficiently. It solves problems related to file management, system monitoring, and task automation, providing inputs such as file paths and commands, and outputs like execution results and system status. Ideal for use cases requiring seamless interaction between AI models and local systems, including data processing, automation, and monitoring tasks.

Canonical page: https://skillsregistry.net/skills/andershsueh-ax-localtools-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andershsueh-ax-localtools-mcp

## Description

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

## 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:** monitoring
- **Updated:** 2026-06-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p0fo68fq8v)
- **Repository:** <https://github.com/AndersHsueh/Ax-LocalTools-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": "andershsueh-ax-localtools-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andershsueh-ax-localtools-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andershsueh-ax-localtools-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
