# mcp-server-documentary-generation

> Use this tool when you need to automatically generate engaging, long-form YouTube documentaries on historical topics, such as Byzantine history, with minimal human input. It solves the problem of content creation for educational or informative YouTube channels, providing a unique and efficient way to produce high-quality documentaries. The tool takes historical data as input and outputs a fully-formed documentary video, complete with narration and visuals, ready for upload to YouTube.

Canonical page: https://skillsregistry.net/skills/thomaskaragiannopoulos-mcp-server-documentary-generation  
JSON: https://api.skillsregistry.net/v1/skills/thomaskaragiannopoulos-mcp-server-documentary-generation

## Description

Enables autonomous generation of long-form YouTube documentaries (15-25 minutes) with minimal human intervention, focusing on historical niches like Byzantine history.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xl1ov2jv10)
- **Repository:** <https://github.com/ThomasKaragiannopoulos/mcp-server-documentary-generation>

## 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": "thomaskaragiannopoulos-mcp-server-documentary-generation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thomaskaragiannopoulos-mcp-server-documentary-generation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thomaskaragiannopoulos-mcp-server-documentary-generation/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