What exactly does this server do?
It fetches the transcript text of a YouTube video and provides it to an AI model, allowing the model to process and discuss the video content.
@PrajwalPrashanth
Basic information
MCP server to fetch and extract transcripts from YouTube videos. Enable AI/LLMs to have access to transcripts for further actions like summarize, write blog..
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"youtube-mcp-server-prajwalprashanth": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
YouTube MCP Server is a Model Context Protocol (MCP) server that provides a tool to fetch and extract transcripts from YouTube videos. It enables AI language models to access complete text transcripts from YouTube URLs, process video content through transcripts, and reference video information in conversations.
Install the dependencies and add the server to Claude Desktop using uv run mcp install -e . server.py -n "youtube-mcp". Once installed, a tool icon appears in the Claude Desktop UI; provide a YouTube video URL and ask for actions such as summarization using the transcript.
It fetches the transcript text of a YouTube video and provides it to an AI model, allowing the model to process and discuss the video content.
You need Python, the `uv` package manager, and the dependencies listed in `pyproject.toml`. The README provides install commands for macOS, Linux, and Windows.
Run `uv run mcp install -e . server.py -n "youtube-mcp"` from the cloned repository directory after setting up the virtual environment and installing dependencies.
Once the tool icon appears in Claude Desktop, simply provide a YouTube URL and ask the model to perform an action like summarizing the video’s transcript.
The README does not mention any authentication, API keys, or transport settings. Setup follows the standard MCP server configuration for Claude Desktop.
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