# local-mcp

> Use this tool when you need to perform local file system operations, such as reading, writing, or searching files, and executing commands on a local machine. It solves problems related to file management, data processing, and automation, providing a stdio-based interface for AI assistants to interact with the local file system. It accepts commands as input and returns output in a standardized format, making it suitable for use cases where local file system access is required.

Canonical page: https://skillsregistry.net/skills/fan-67-local-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fan-67-local-mcp

## Description

A lightweight, stdio-based MCP server enabling AI assistants to perform local file system operations like reading, writing, searching, and executing commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q24684fqrp)
- **Repository:** <https://github.com/fan-67/local-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": "fan-67-local-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fan-67-local-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fan-67-local-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