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Glama
bartivs

yt-media-info-mcp

by bartivs

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
LOG_LEVELNoWinston log level (error, warn, info, debug)info
ENABLE_SSENoUse SSE transport (vs stdio)0
YT_MEDIA_INFO_HOSTNoHTTP server host (SSE mode)0.0.0.0
YT_MEDIA_INFO_PORTNoHTTP server port (SSE mode)9423
YT_MEDIA_INFO_API_KEYNoOptional bearer API key for HTTP endpoints
YT_MEDIA_INFO_PASSWORDNoDefault password for yt-dlp site auth
YT_MEDIA_INFO_USERNAMENoDefault username for yt-dlp site auth
YT_MEDIA_INFO_SERVICE_URLNoURL of the Python yt-dlp servicehttp://yt-media-info-service:8000

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
}
prompts
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
extract_infoA

Extract rich metadata from a media URL (title, description, duration, formats, chapters, subtitles, statistics, and more)

get_transcriptB

Fetch subtitles or transcript text for a media URL, optionally with timestamp segments

search_mediaA

Search for media across supported platforms (YouTube, etc.) using yt-dlp search. This is a supplementary discovery tool meant to complement web search.

Prompts

Interactive templates invoked by user choice

NameDescription
analyze_videoAnalyze a video or media item from its available metadata to provide insights, context, and high-level understanding
summarize_transcriptSummarize the transcript of a video or audio file to extract key points and actionable insights

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a distinct purpose: metadata extraction, transcript retrieval, and media search. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (extract_info, get_transcript, search_media) using lowercase snake_case.

Tool Count5/5

Three tools is appropriate for a focused media info server, covering core operations without excess.

Completeness5/5

The tool set covers the main use cases for media information: metadata extraction, transcript fetching, and search. No obvious gaps for its stated purpose.

Maintenance

ActivityStale
ResponsivenessNo issues