Skip to main content
Glama

youtube-mcp

A small MCP server that lets a model read public YouTube data. Three tools, no API key, nothing clever:

tool

what you get

youtube_transcript

what is said in a video, as plain text, optionally trimmed to a time window, plus which language it came back in

youtube_playlist

the videos in a playlist, in order

youtube_video_facts

title, channel, duration, publish date, views, likes, description, caption languages

That is the entire surface. The server fetches, checks the link, trims by timestamp and returns. Summarising, searching and ranking are the calling model's job, not this server's.

Requirements

  • Python 3.12 or newer

  • uv for the short path, though plain pip is fine

Related MCP server: YouTube MCP

Install

git clone https://github.com/chiekh-a/youtube-mcp.git
cd youtube-mcp

uv venv
uv pip install -e ".[dev]"

With pip instead:

python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Configuration

Copy the example file and fill in whatever you need:

cp .env.example .env

All of it is optional. With an empty .env the server still runs, it just talks to YouTube directly from wherever it happens to be.

variable

default

what it does

YOUTUBE_USE_PROXY

false

the switch that turns the proxy on

YOUTUBE_PROXY_URL

unset

proxy endpoint, credentials included

MCP_TRANSPORT

stdio

stdio or http

MCP_HOST

127.0.0.1

bind address, http only

PORT

8000

bind port, http only

PUBLIC_BASE_URL

unset

where the server is reachable, used for the icon URL

PUBLIC_BASE_URL is only worth setting if you deploy somewhere that is not Railway. Railway publishes the domain itself and the server picks it up. Leave it unset over stdio, where the icon travels inline instead.

Why the proxy exists

YouTube is aggressive about blocking datacenter IP ranges. On your own machine you will usually be fine without a proxy. On a server (Railway, a VPS, CI) the transcript requests start coming back as bot checks fairly quickly, and pointing them at a residential proxy is the fix.

Both variables have to be set before anything is routed. A URL sitting in the environment with YOUTUBE_USE_PROXY=false is ignored, which makes it easy to flip on and off without editing config.

The proxy URL contains a password. It is never logged, and .env is gitignored. Please keep it that way.

Run it

Over stdio, which is what a desktop MCP client expects:

uv run python -m youtube_mcp

Over HTTP, for when the server lives somewhere else:

uv run python -m youtube_mcp --transport http --host 0.0.0.0 --port 8000

The endpoint is /mcp, so a local server answers at http://127.0.0.1:8000/mcp. Leave the trailing slash off. A URL ending in /mcp/ gets redirected, and the redirect loses the session header, so the client fails with a confusing 400.

Flags: --transport, --host, --port, --log-level. Logs always go to stderr, because stdout belongs to the MCP protocol.

Connect a client

Local, over stdio

Drop this into claude_desktop_config.json, or .mcp.json for Claude Code, and point the path at your checkout:

{
  "mcpServers": {
    "youtube": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/youtube-mcp",
        "run",
        "python",
        "-m",
        "youtube_mcp"
      ],
      "env": {
        "YOUTUBE_USE_PROXY": "false"
      }
    }
  }
}

If you would rather not go through uv, call the venv's Python directly:

{
  "mcpServers": {
    "youtube": {
      "command": "/absolute/path/to/youtube-mcp/.venv/bin/python",
      "args": ["-m", "youtube_mcp"]
    }
  }
}

Claude Code can skip the file editing entirely:

claude mcp add youtube -- uv --directory /absolute/path/to/youtube-mcp run python -m youtube_mcp

Remote, over HTTP

Once it is deployed somewhere:

{
  "mcpServers": {
    "youtube": {
      "type": "http",
      "url": "https://your-app.up.railway.app/mcp"
    }
  }
}

No trailing slash on that URL, for the reason above.

Deploy to Railway

There is a Dockerfile and a railway.json in the repo, so Railway needs very little from you.

  1. Push the repo to GitHub.

  2. In Railway, create a project from the repo. It finds the Dockerfile by itself.

  3. Under Settings, Variables, add:

    • MCP_TRANSPORT = http

    • MCP_HOST = 0.0.0.0

    • YOUTUBE_USE_PROXY = true

    • YOUTUBE_PROXY_URL = your proxy endpoint

  4. Generate a domain under Settings, Networking.

PORT comes from Railway, so leave it alone.

From the CLI instead:

railway login
railway init
railway up
railway domain

Two things to keep in mind about a public deployment. The HTTP endpoint has no auth on it, so anyone holding the URL can spend your proxy quota. And a hosted IP will run into YouTube's bot checks without a residential proxy, which is the whole reason YOUTUBE_USE_PROXY is there.

How it behaves

Small decisions that occasionally surprise people, all of them on purpose:

  • Only https:// links, and only on youtube.com, m.youtube.com or youtu.be.

  • Shorts are turned away. Pass a regular video link.

  • Captions are tried in this order and the first hit wins: en, ar, fr, es, de, it, pt, ru, zh. If a video has none of those, you get whatever it does have rather than an error, since the model reading it can translate. The response says which language turned up, and whether a human wrote the captions or speech recognition did.

  • Trimming is an overlap test, not a containment test. A caption line that begins before start_seconds but is still being spoken at that moment is kept whole, because half a sentence is worth less than a slightly wider clip.

  • start_seconds has to be strictly smaller than end_seconds. Equal values are an error, and it is caught before any request goes out.

  • A video with no captions in a supported language is an error. A time window that lands past the end of the video is simply an empty result.

  • Only text comes back, never timestamps. They are dead weight in a context window.

  • youtube_playlist also accepts a watch link that happens to be playing inside a playlist, since it carries the same list= id.

When something breaks

"Sign in to confirm you're not a bot", or "YouTube is blocking requests from your IP". The host is on an IP range YouTube does not trust, which is normal for any cloud provider. Set YOUTUBE_USE_PROXY=true with a working residential proxy. Playlist listing often keeps working while transcripts and video facts fail, so a partial outage like that is usually this.

Tunnel connection failed: 407 Proxy Authentication Required. The proxy is reachable and it turned your credentials down. Check the username and password, and check whether the provider expects the client IP to be allowlisted first. The scheme on the proxy URL is not the problem, http:// and https:// behave the same here.

A 400 from the HTTP endpoint straight after connecting. The client URL ends in /mcp/. Drop the trailing slash.

Nothing at all over stdio. Something wrote to stdout. Only this server's own logging is careful about that, so a stray print in your own changes is the usual culprit.

Tests

uv run pytest

Nothing in the suite touches the network. An autouse fixture in tests/conftest.py swaps both clients for tripwires that raise on contact, so a forgotten stub fails loudly instead of quietly making live requests.

Layout

youtube_mcp/
  __main__.py   flags, transport choice, start
  server.py     the FastMCP instance and the three tools
  links.py      parsing YouTube URLs into ids
  captions.py   caption fetching and the time window
  catalog.py    yt-dlp: playlists and video facts
  schemas.py    what the tools return
  settings.py   the only module that reads the environment
  errors.py     the two ways a call can fail
  branding.py   the icon clients show, and the routes serving it
  assets/       the icon itself, as PNG and SVG

The icon is a hand drawn play button rather than YouTube's official artwork, so there is nothing here that belongs to anyone else.

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    -
    quality
    D
    maintenance
    An MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.
  • A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.
    5
    41
    4
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.
    2
    MIT

View all related MCP servers

Related MCP Connectors

View all MCP Connectors

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/chiekh-a/youtube-mcp'

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