# SanTech Content Engine MCP Server

> SanTech Content Engine MCP Server — budhasantosh010-san-tech-yt-research-titles-scripts. Use this tool when you need to analyze YouTube competitors, identify signals, and generate content ideas through transcript-aware pack building. It solves problems related to content ideation and scriptwriting by providing valuable insights and suggestions. The tool takes in competitor data and outputs actionable content ideas and scripts, making it ideal for content creators and marketers looking to inform their strategy.

Canonical page: https://skillsregistry.net/skills/budhasantosh010-san-tech-yt-research-titles-scripts  
JSON: https://api.skillsregistry.net/v1/skills/budhasantosh010-san-tech-yt-research-titles-scripts

## Description

Enables YouTube competitor research, signal analysis, and transcript-aware pack building for content ideation and scriptwriting.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yavtcb5w73)
- **Repository:** <https://github.com/budhasantosh010/san-tech-yt-research-titles-scripts>

## 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": "budhasantosh010-san-tech-yt-research-titles-scripts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/budhasantosh010-san-tech-yt-research-titles-scripts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/budhasantosh010-san-tech-yt-research-titles-scripts/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