# AI File Assistant MCP

> AI File Assistant MCP — zainahmedfarooq5-hue-ai-file-assistant-mcp. Use this tool when you need to automate and streamline file operations with AI-powered capabilities, such as reading, writing, editing, searching, and managing files. It solves problems related to file management, organization, and retrieval, providing a user-friendly interface through a Flask web app. The AI File Assistant MCP takes in file inputs and outputs managed files, making it ideal for use cases that require efficient and intelligent file handling.

Canonical page: https://skillsregistry.net/skills/zainahmedfarooq5-hue-ai-file-assistant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zainahmedfarooq5-hue-ai-file-assistant-mcp

## Description

MCP server providing AI-powered file operations including read, write, edit, search, and file management via Model Context Protocol. Also includes a Flask web app with file manager and user admin.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c90wickajw)
- **Repository:** <https://github.com/zainahmedfarooq5-hue/AI_File_Assistant_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": "zainahmedfarooq5-hue-ai-file-assistant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zainahmedfarooq5-hue-ai-file-assistant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zainahmedfarooq5-hue-ai-file-assistant-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
