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Glama
will-ness-ai

YouTube Tools MCP Server

by will-ness-ai

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RAPIDAPI_KEYYesYour RapidAPI key for transcript extraction
DATABASE_PATHNoOptional: Custom path for the video summaries database file./video_summaries.db
YOUTUBE_API_KEYYesYour YouTube Data API v3 key for search functionality

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_youtube_transcriptB

Extract transcript from a YouTube video

search_youtubeB

Search for YouTube videos using the YouTube Data API v3

fetchExistingVideoSummaryA

Fetch an existing video summary from the database

storeVideoSummaryB

Store or update a video summary in the database

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: searching YouTube, fetching transcripts, and retrieving/storing summaries. There is no overlap between tool responsibilities, so an agent can easily select the correct tool for a task.

Naming Consistency2/5

The tool names mix conventions: 'get_youtube_transcript' and 'search_youtube' use snake_case and include 'youtube', while 'fetchExistingVideoSummary' and 'storeVideoSummary' use camelCase and omit the service name. The inconsistent verb choices (get vs fetch, store vs search) further reduce predictability.

Tool Count5/5

With only 4 tools, the server is tightly scoped to its purpose of YouTube video search, transcript retrieval, and summary management. Each tool is necessary and there is no bloat, making the count appropriate for the domain.

Completeness4/5

The tool set covers the core workflows: search, transcript, and summary storage/retrieval. A delete summary tool is missing, but the store operation handles both create and update, so the surface is largely complete for the implied use case.

Maintenance

ActivityInactive
ResponsivenessNo issues