Skip to main content
Glama
kmprograms

YouTube Transcripts MCP Server

by kmprograms

get_transcript

Fetch the transcript of a YouTube video by providing its URL or 11-character ID. Optionally specify preferred language codes to get the transcript in your chosen language.

Instructions

Pobiera transkrypcję filmu YouTube. W argumencie video podaj adres URL filmu albo jego 11-znakowy identyfikator. Opcjonalnie podaj listę kodów języków w kolejności preferencji, na przykład ["pl", "en"]. Zwraca tekst transkrypcji oraz metadane, w tym język i liczbę fragmentów.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
videoYes
languagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
languageYes
video_idYes
is_generatedYes
language_codeYes
snippet_countYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description provides some behavioral details: returns text and metadata (language, fragment count). But it does not disclose error cases, such as when no transcript is available or language preference fails.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is four concise sentences in Polish, each adding unique value: purpose, argument format, optional parameter, return info. No wasted words, front-loaded with core function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is low complexity (2 params, 1 required) and has an output schema. The description covers input, output, and purpose. It does not mention error handling or when to use, but overall is sufficiently complete for most use cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, so the description compensates by explaining that 'video' accepts URL or 11-char ID, and 'languages' is a list of language codes in preference order. This adds significant meaning beyond schema structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it downloads a YouTube video transcript, including how to specify the video (URL or 11-char ID) and optional languages. However, it does not explicitly differentiate from sibling 'list_transcripts'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus the sibling 'list_transcripts'. The description lacks any when-to-use or when-not-to-use advice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kmprograms/mcp-server-yt-transcriptions'

If you have feedback or need assistance with the MCP directory API, please join our Discord server