# File System Operations

> Use this tool when you need to perform file system operations, such as reading, creating, and listing files, in a controlled and standardized manner. It solves problems related to file management and integration with AI models, providing a reliable interface for local file system interactions. The tool accepts input via stdin and outputs results via stdout, making it suitable for use cases requiring automated file operations with performance monitoring capabilities.

Canonical page: https://skillsregistry.net/skills/codyde-file-tool  
JSON: https://api.skillsregistry.net/v1/skills/codyde-file-tool

## Description

This MCP server implementation provides file system operations through a standardized interface. Built using the Model Context Protocol SDK, it offers tools for reading, creating, and listing files on the local file system. The server includes features like performance monitoring through Sentry integration and communicates via stdin/stdout using the MCP protocol, making it suitable for AI models to perform file operations in a controlled manner.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/codyde-file-tool)
- **Repository:** <https://github.com/codyde/mcp-file-tool>

## 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": "codyde-file-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codyde-file-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codyde-file-tool/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