mcp-ytTranscript
Provides functionality for extracting transcripts from YouTube videos, allowing access to video content in text form.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-ytTranscriptget the transcript for https://youtube.com/watch?v=dQw4w9WgXcQ in English"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
YouTube Transcript MCP Server
A simple MCP server that provides YouTube video transcript extraction functionality.
Installation
Install using uv:
uv pip install .Related MCP server: youtube-summarize
Usage
The server runs using stdio transport.
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for Speech-to-Text
MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
An MCP server that gives any LLM or agent clean YouTube transcripts on demand: a single video, a whole channel, or a playlist, plus AI cleanup of auto-generated captions. API-key auth, credit-based, same backend as the public v1 API. Get a free API key with 25 free credits at youtubetranscriptdownload.com/account.
MCP server for Text-to-Speech
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables transcription of YouTube videos in multiple languages through an MCP server interface.-
- AlicenseAqualityAmaintenanceMCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.66MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for fetching YouTube video transcripts without an API key.GPL 3.0
- FlicenseNot gradedqualityDmaintenanceMCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).-