# mcp-file-roots-demo

> Use this tool when you need to interact with AI models through conversational interfaces while controlling file system access and converting videos. It solves problems related to secure AI interactions, file management, and multimedia processing, providing a controlled environment for AI-driven applications. The tool accepts text inputs and file paths, producing human-like responses and converted video outputs.

Canonical page: https://skillsregistry.net/skills/dinesh36-mcp-file-roots-demo  
JSON: https://api.skillsregistry.net/v1/skills/dinesh36-mcp-file-roots-demo

## Description

Enables interactive chat with AI models via Anthropic API, with controlled file system access to specified directories and video conversion capabilities.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g3zk03290e)
- **Repository:** <https://github.com/dinesh36/mcp-file-roots-demo>

## 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": "dinesh36-mcp-file-roots-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dinesh36-mcp-file-roots-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dinesh36-mcp-file-roots-demo/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