# Filesystem

> Use this tool when you need to interact with local files and documents, such as reading, writing, or analyzing various file formats. It solves problems related to document generation, file management, and data extraction, allowing AI assistants to perform these tasks within a conversation interface. The filesystem tool takes in file paths and formats as inputs and outputs processed documents or extracted data, making it ideal for workflows that require efficient file handling and data manipulation.

Canonical page: https://skillsregistry.net/skills/ototree-filesystem  
JSON: https://api.skillsregistry.net/v1/skills/ototree-filesystem

## Description

MCP-Server is a filesystem-focused implementation that enables AI assistants to interact with local files and documents. It leverages aiofiles for asynchronous file operations, httpx for HTTP requests, and provides document processing capabilities through python-docx and pandas for data manipulation. The server allows for reading, writing, and analyzing various file formats, making it particularly valuable for workflows that require document generation, file management, or data extraction tasks without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-05

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ototree-filesystem)
- **Repository:** <https://github.com/ototree/mcp-server/tree/HEAD/filesystem>

## 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": "ototree-filesystem"
    }
  }
}
```

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

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