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PrajwalPrashanth

YouTube MCP Server

by PrajwalPrashanth
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

YouTube MCP(Model Context Protcol) Server

This MCP server provides a tool to fetch and extract transcripts from YouTube videos. It enables AI language models (LLMs) to:

  • Access complete text transcripts from YouTube video URLs

  • Process and analyze video content through transcripts

  • Reference and discuss video information in conversations

The server acts as a bridge between AI models and YouTube content by automatically extracting and formatting video transcripts.

Instead of saying can't access links

Setup

  1. Install uv (Python package manager):

    Mac:

    brew install uv

    Linux:

    curl -LsSf https://astral.sh/uv/install.sh | sh

    Windows:

    powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

  2. Clone this repository:

    git clone git@github.com:PrajwalPrashanth/youtube-mcp-server.git
cd youtube-mcp-server

  3. Create a virtual environment and install dependencies:

    uv venv
source .venv/bin/activate  
# On Windows: .venv\Scripts\activate
uv pip install -r pyproject.toml

Related MCP server: youtube-mcp

Add this MCP server to Claude Desktop (download)

uv run mcp install -e . server.py -n "youtube-mcp"

Once this is done you should see the tool icon in the UI

and you can ask for it to do actions (like summarize) with the transcript by providing a YT video

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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