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MCP server retrieving transcripts of YouTube videos
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English | [日本語](README.ja.md)
# YouTube Transcript MCP Server
[](https://github.com/astral-sh/uv)
[](https://github.com/jkawamoto/mcp-youtube-transcript/actions/workflows/python-app.yaml)
[](https://github.com/pre-commit/pre-commit)
[](https://github.com/jkawamoto/mcp-youtube-transcript/blob/main/LICENSE)
[](https://hub.docker.com/mcp/server/youtube_transcript)
A [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server
that fetches transcripts and metadata from YouTube videos directly into your LLM workflows.
Designed specifically for AI agents, it seamlessly handles long-form videos through automatic pagination
and provides robust proxy support to circumvent YouTube rate limits and IP bans.
## Key Features
- **Rich Transcript Retrieval**: Fetch raw text, timestamped segments, and video metadata in multiple languages.
- **Smart Chunking & Pagination**: Automatically chunks long transcripts (default: 50,000 characters) to prevent context
window overflow, letting models page through hours of video effortlessly.
- **Resilient Proxy Support**: Built-in support for residential proxies (Webshare, ScrapingAnt)
and standard HTTP/HTTPS proxies to prevent IP blocks.
- **Universal Compatibility**: Works with Claude Desktop, Cursor, LM Studio, Goose, and any standard MCP client.
## Quick Start & Installation
> [!NOTE]
> You'll need [`uv`](https://docs.astral.sh/uv) installed on your system to use `uvx` command.
This server communicates via standard `stdio`.
Most MCP clients can run it directly using `uvx` (part of [Astral `uv`](https://github.com/astral-sh/uv)).
### General Configuration (Standard MCP JSON)
Add this entry to your client's MCP configuration file (typically under `mcpServers`):
```json
{
"mcpServers": {
"youtube-transcript": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-youtube-transcript",
"mcp-youtube-transcript"
]
}
}
}
```
<details>
<summary><strong>Client-Specific Setup Guides (Click to expand)</strong></summary>
#### Claude Desktop
- **GUI (Drag & Drop)**: Download the `.mcpb` bundle
from the [Releases page](https://github.com/jkawamoto/mcp-youtube-transcript/releases)
and drop it into your Claude Desktop Settings.
- **Manual Config**: Add the JSON above to `claude_desktop_config.json` (restart Claude Desktop after saving):
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
#### Cursor
1. Go to **Cursor Settings** > **Features** > **MCP Servers**.
2. Click **+ Add New MCP Server**.
3. Name: `youtube-transcript`, Type: `command`.
4. Command: `uvx --from git+https://github.com/jkawamoto/mcp-youtube-transcript mcp-youtube-transcript`
#### [Goose](https://block.github.io/goose/)
Please refer to this tutorial for detailed installation instructions:
[YouTube Transcript Extension](https://block.github.io/goose/docs/mcp/youtube-transcript-mcp).
#### [LM Studio](https://lmstudio.ai/)
To configure this server for LM Studio, click the button below.
[](https://lmstudio.ai/install-mcp?name=youtube-transcript&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyItLWZyb20iLCJnaXQraHR0cHM6Ly9naXRodWIuY29tL2prYXdhbW90by9tY3AteW91dHViZS10cmFuc2NyaXB0IiwibWNwLXlvdXR1YmUtdHJhbnNjExcerpt of 8,617 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
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