youtube-transcript-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_transcript_toolA | Get the full transcript of a YouTube video with timestamps. Args: url: YouTube video URL or video ID lang: Language code for captions (default: "en") use_whisper_fallback: If True, use Whisper when captions unavailable |
| search_transcriptB | Search a YouTube video's transcript for matching segments. Args: url: YouTube video URL or video ID query: Search term to find in the transcript lang: Language code for captions (default: "en") context_seconds: Seconds of context around each match (default: 30) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
Each tool has a clear, distinct purpose: one fetches the full transcript, the other searches within it. No functional overlap.
Both use snake_case but the naming pattern is inconsistent: 'get_transcript_tool' includes a redundant '_tool' suffix while 'search_transcript' does not.
Two tools are well-scoped for the server's focused purpose of YouTube transcript access and search. No unnecessary tools.
The tool surface covers the core operations (full transcript retrieval and search) but lacks auxiliary features like language detection or transcript availability checking.