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rubayatkhan

mcp-research-pipeline

by rubayatkhan

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
TRANSCRIPT_API_KEYNoTranscriptAPI.com API key (enables YouTube search tools)
NOTEBOOKLM_STORAGE_PATHNoCustom path to NotebookLM auth (default: ~/.notebooklm/storage_state.json)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_transcriptB

Fetch the transcript of a YouTube video.

search_youtubeA

Search YouTube for videos or channels. Costs 1 TranscriptAPI credit.

get_channel_latestB

Get the 15 most recent videos from a YouTube channel. FREE — no credits.

get_channel_videosA

Paginated list of all videos from a YouTube channel. Costs 1 credit/page.

get_playlist_videosB

Paginated list of videos in a YouTube playlist. Costs 1 credit/page.

create_notebookB

Create a new NotebookLM notebook.

list_notebooksA

List all NotebookLM notebooks.

Returns: JSON array of notebooks with notebook_id, name, created_at, source_count.

add_sourceB

Add a source to a NotebookLM notebook.

list_sourcesA

List all sources in a NotebookLM notebook.

ask_notebookA

Ask a question against the sources in a NotebookLM notebook.

NotebookLM uses your sources as context (RAG) and provides referenced answers. This is powered by Google's infrastructure.

generate_artifactA

Generate a NotebookLM artifact from notebook sources.

Supported artifact types: audio, video, quiz, flashcards, report, mind_map, infographic, slide_deck, data_table.

list_artifactsA

List all artifacts in a NotebookLM notebook.

check_artifact_statusB

Check the generation status of a NotebookLM artifact.

download_artifactA

Download a completed NotebookLM artifact to a local file.

research_topicA

End-to-end research pipeline: search YouTube, create a NotebookLM notebook, add video sources, and optionally ask a question.

This tool orchestrates the full workflow:

  1. Search YouTube for videos matching the query

  2. Create a new NotebookLM notebook

  3. Add each video as a YouTube source

  4. Optionally ask a question against all sources

Requires both TRANSCRIPT_API_KEY (for search) and NotebookLM login.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 15 tools

Disambiguation4/5

Tools are mostly distinct by resource and action, with clear separation between YouTube retrieval and NotebookLM management. The main ambiguity is between get_channel_latest and get_channel_videos, though descriptions clarify the convenience vs. paginated distinction. research_topic overlaps with the individual steps but is clearly positioned as an orchestrator.

Naming Consistency4/5

All tool names use snake_case and generally follow a verb_noun pattern, which keeps the set predictable. Minor inconsistencies like get_channel_latest omitting a noun and mixing list_/get_ for similar operations prevent a perfect score.

Tool Count4/5

At 15 tools, the server sits at the upper bound of a well-scoped set, but the count is justified by covering two integrated domains: YouTube retrieval and NotebookLM management. research_topic and get_channel_latest add some redundancy but still serve useful convenience purposes.

Completeness4/5

The core research workflow is covered end-to-end: search YouTube, create a notebook, add sources, ask questions, and generate/download artifacts. Missing delete/update operations for notebooks, sources, and artifacts are notable gaps but not critical for the stated pipeline purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues