youtube-summarize
MCP server that fetches YouTube video transcripts and optionally summarizes them.
Features
- Fetch transcripts in multiple formats (text, JSON, SRT, WebVTT, pretty-print)
- Video metadata — title, description, channel, upload date, duration, views, chapters (via yt-dlp)
- Optional timestamps in plain-text transcripts
- Summarize videos — returns transcript with the prompt clearly broken out for human review before the LLM acts on it
- List playlist videos — fast enumeration of any public playlist with optional sorting
- Search videos — clean ranked results with sort and filter options, without the ads, Shorts shelves, and personalized recommendations of the YouTube website
- List available languages for any video's transcripts
- Flexible URL parsing — accepts full YouTube URLs (
youtube.com/watch?v=,youtu.be/,youtube.com/embed/,youtube.com/shorts/) or bare video IDs - Multi-language support — request transcripts in specific languages with fallback priority
Tools
get_transcript
Fetch a YouTube video's transcript. By default the response is prefixed with a [METADATA] block (title, channel, published, duration, views, description); pass include_metadata=false for transcript-only output.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
string | required | YouTube video URL or video ID |
languages |
string[] | ["en"] |
Preferred languages in priority order |
format |
string | "text" |
Output format: text, json, pretty, webvtt, srt |
preserve_formatting |
boolean | false |
Keep HTML formatting tags in the transcript |
include_timestamps |
boolean | false |
When true with format="text", prefix each line with [HH:MM:SS]. Ignored for other formats (they already include timestamps). |
include_metadata |
boolean | true |
Prepend a [METADATA] block before the transcript. Pass false for transcript-only output. |
summarize_transcript
Fetch a transcript and return it with summarization instructions. The response is structured into clearly-labeled sections ([INSTRUCTIONS], [PROMPT_SOURCE], [VIDEO], [METADATA], [TRANSCRIPT]) so a human can review the prompt before letting the LLM act on it.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
string | required | YouTube video URL or video ID |
prompt |
string | (default prompt) | Custom summarization instructions |
languages |
string[] | ["en"] |
Preferred languages in priority order |
include_timestamps |
boolean | false |
Prefix each transcript line with [HH:MM:SS]. |
include_metadata |
boolean | true |
Include a [VIDEO] block with title, channel, published, duration, views, and description. |
get_video_metadata
Fetch metadata (title, description, channel, upload date, duration, views, tags, chapters, etc.) for a YouTube video. Backed by yt-dlp.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
string | required | YouTube video URL or video ID |
list_playlist_videos
List the videos in a YouTube playlist (title, ID, channel, duration, views, URL). Per-video metadata is intentionally lean so the call stays fast even for large playlists; call get_video_metadata with a specific video ID for full detail.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
string | required | YouTube playlist URL (with ?list=...) or bare playlist ID |
limit |
integer | 500 |
Maximum videos to return |
sort_by |
string | "index" |
One of: index (playlist order), title, duration, views. upload_date is not supported. |
order |
string | "asc" |
asc or desc |
search_videos
Search YouTube for videos and return a clean ranked list (title, ID, channel, duration, views, URL) — only actual videos, with no ads, recommendation shelves, or personalization. Relevance ordering still comes from YouTube's backend. Pair with get_transcript or summarize_transcript on a result's ID or URL.
| Parameter | Type | Default | Description |
|---|---|---|---|
query |
string | required | Search terms |
limit |
integer | 10 |
Maximum results to return |
sort_by |
string | "relevance" |
One of: relevance, date (newest first), views, rating |
uploaded |
string | "any" |
Filter by upload time: any, hour, today, week, month, year |
duration |
string | "any" |
Filter by length: any, short (<4 min), medium (4–20 min), long (>20 min) |
list_transcripts
List available transcript languages for a video.
| Parameter | Type | Default | Description |
|---|---|---|---|
url |
string | required | YouTube video URL or video ID |
Installation
Quick start (recommended)
uvx youtube-summarize
Claude Desktop
Add to your claude_desktop_config.json:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"youtube-summarize": {
"command": "uvx",
"args": ["youtube-summarize"]
}
}
}
Claude Code
claude mcp add youtube-summarize -- uvx youtube-summarize
Other MCP clients
Run the server over stdio:
uvx youtube-summarize
Prerequisites
- Python 3.13+
- uv package manager
Development
# Install dependencies
uv sync
# Launch the MCP inspector (web UI for testing tools)
uv run mcp dev main.py
License
MIT
mcp-name: io.github.zlatkoc/youtube-summarize
Metadata
Release files for youtube-summarize 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| youtube_summarize-0.6.0.tar.gz | 10.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| youtube_summarize-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.8 kB
Release files / youtube_summarize-0.6.0.tar.gz
| Download URL | youtube_summarize-0.6.0.tar.gz |
|---|---|
| Size | 10.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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| Download URL | youtube_summarize-0.6.0-py3-none-any.whl |
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| Size | 12.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
9ee1e6150e59b78456c5bb6f447ca302260d4e78408e45da088653ae6d7fb3c3
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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