Skip to main content
Glama
arrrggghhh

YouTube Transcript MCP Server

by arrrggghhh

YouTube Transcript MCP Server

A Model Context Protocol (MCP) server that provides YouTube transcript fetching functionality. This server allows AI assistants to retrieve transcripts from YouTube videos.

Features

  • Fetch transcripts from YouTube videos using video ID

  • Support for multiple languages with configurable preferences

  • Simple MCP tool interface for easy integration

Related MCP server: Personal MCP Server

Installation

Prerequisites

  • Python 3.8 or higher

  • uv package manager (recommended) or pip

# Clone the repository
git clone https://github.com/arrrggghhh/youtube-transcript-mcp.git
cd youtube-transcript-mcp

# Install dependencies
uv sync

Configuration

Environment Variables

  • YOUTUBE_TRANSCRIPT_FETCHER_LANGS: Comma-separated list of language codes for transcript preferences (default: "ko,en")

    • Example: YOUTUBE_TRANSCRIPT_FETCHER_LANGS=en,es,fr,de

    • The server will attempt to fetch transcripts in the order specified

Adding to Claude Desktop

To use this MCP server with Claude Desktop, you need to add it to your configuration:

1. Locate your Claude Desktop configuration file

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Edit the configuration file

Add the YouTube Transcript MCP server to the mcpServers section:

{
  "mcpServers": {
    "youtube-transcript-mcp": {
        "command": "/path/to/uv",
        "args": [
            "run",
            "--directory",
            "/path/to/cloned/directory",
            "--with",
            "mcp[cli]",
            "--with",
            "youtube_transcript_api",
            "mcp",
            "run",
            "/path/to/youtube-transcript-mcp.py"
        ]
    }
  }
}

Important: Replace /path/to/uv with the actual path to your uv executable, and /path/to/youtube-transcript-mcp.py with the actual path to the youtube-transcript-mcp.py file in your cloned repository.

3. Restart Claude Desktop

After saving the configuration file, restart Claude Desktop for the changes to take effect.

Usage

Once the MCP server is added, you can use it in Claude Desktop by asking Claude to analyze YouTube videos:

"Summarize the YouTube video dQw4w9WgXcQ"
"What are the key points from https://www.youtube.com/watch?v=dQw4w9WgXcQ"
"Give me a brief overview of the content in video ID dQw4w9WgXcQ"

The server will automatically extract the video ID, fetch the transcript in the configured languages, and Claude will analyze and summarize the content.

Development

Project Structure

youtube-transcript-mcp/
├── youtube-transcript-mcp.py  # Main MCP server
├── transcript_fetcher.py      # Core transcript fetching logic
├── pyproject.toml            # Project configuration
├── uv.lock                   # Dependency lock file
└── README.md                 # This file

Available Tools

1 tool
get_transcriptD
ParametersJSON Schema
NameRequiredDescriptionDefault
video_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

D1/5.0
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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

Parameters1/5

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

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • First observedget_transcript

TDQS

D1.7/5.0
Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving transcripts, leaving no room for misselection.

Naming Consistency5/5

The single tool name follows a clear verb_noun pattern (get_transcript), and since there is only one tool, consistency is inherently perfect with no deviations to assess.

Tool Count2/5

A single tool is too few for a server focused on YouTube transcripts, as it lacks essential operations like searching, listing, or managing transcripts. This minimal scope will likely cause agent failures due to incomplete functionality.

Completeness1/5

The tool set is severely incomplete for the domain of YouTube transcripts. It only provides retrieval (get_transcript) with no support for operations like search, list, update, or delete, creating significant gaps that will hinder agent workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

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

Related MCP Connectors

Related MCP Servers

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/arrrggghhh/youtube-transcript-mcp'

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