# mcp-research-pipeline

> Use this tool when you need to streamline research tasks by integrating YouTube transcripts, search, and note-taking capabilities. It solves problems of information fragmentation and manual data collection, providing a unified pipeline for efficient research. The tool accepts search queries and transcript inputs, outputting organized notes and relevant information for Claude Desktop and MCP clients.

Canonical page: https://skillsregistry.net/skills/rubayatkhan-mcp-research-pipeline  
JSON: https://api.skillsregistry.net/v1/skills/rubayatkhan-mcp-research-pipeline

## Description

Unifies YouTube transcripts, YouTube search, and Google NotebookLM into a research pipeline for Claude Desktop and MCP clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h815t5d204)
- **Repository:** <https://github.com/rubayatkhan/mcp-research-pipeline>

## 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": "rubayatkhan-mcp-research-pipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rubayatkhan-mcp-research-pipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rubayatkhan-mcp-research-pipeline/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