
Youtube MCP Server
Bridges YouTube API and AI assistants, enabling video analysis by downloading and processing closed captions to create summaries of YouTube videos.
sparfenyuk
Tools
DownloadClosedCaptions
Download closed captions from YouTube video.
README
Youtube MCP server
About
The server is a bridge between the Youtube API and the AI assistants and is based on the Model Context Protocol.
<a href="https://glama.ai/mcp/servers/gzrh7914k6"> <img width="380" height="200" src="https://glama.ai/mcp/servers/gzrh7914k6/badge" alt="Youtube Server MCP server" /> </a>
What is MCP?
The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work with local services and APIs while keeping the user in control.
What does this server do?
- [x] Download closed captions for the given video
Practical use cases
- [x] Create a summary of the video
Prerequisites
Installation
uv tool install git+https://github.com/sparfenyuk/mcp-youtube
[!NOTE] If you have already installed the server, you can update it using
uv tool upgrade --reinstall
command.
[!NOTE] If you want to delete the server, use the
uv tool uninstall mcp-youtube
command.
Configuration
Claude Desktop Configuration
Configure Claude Desktop to recognize the Youtube MCP server.
-
Open the Claude Desktop configuration file:
- in MacOS, the configuration file is located at
~/Library/Application Support/Claude/claude_desktop_config.json
- in Windows, the configuration file is located at
%APPDATA%\Claude\claude_desktop_config.json
Note: You can also find claude_desktop_config.json inside the settings of Claude Desktop app
- in MacOS, the configuration file is located at
-
Add the server configuration
{ "mcpServers": { "mcp-youtube": { "command": "mcp-youtube", } } } }
Development
Getting started
-
Clone the repository
-
Install the dependencies
uv sync
-
Run the server
uv run mcp-youtube --help
Tools can be added to the src/mcp_youtube/tools.py
file.
How to add a new tool:
-
Create a new class that inherits from ToolArgs
class NewTool(ToolArgs): """Description of the new tool.""" pass
Attributes of the class will be used as arguments for the tool. The class docstring will be used as the tool description.
-
Implement the tool_runner function for the new class
@tool_runner.register async def new_tool(args: NewTool) -> t.Sequence[TextContent | ImageContent | EmbeddedResource]: pass
The function should return a sequence of TextContent, ImageContent or EmbeddedResource. The function should be async and accept a single argument of the new class.
-
Done! Restart the client and the new tool should be available.
Validation can accomplished either through Claude Desktop or by running the tool directly.
Debugging the server in the Inspector
The MCP inspector is a tool that helps to debug the server using fancy UI. To run it, use the following command:
npx @modelcontextprotocol/inspector uv run mcp-youtube
Troubleshooting
Message 'Could not connect to MCP server mcp-youtube'
If you see the message 'Could not connect to MCP server mcp-youtube' in Claude Desktop, it means that the server configuration is incorrect.
Try the following:
- Use the full path to the
mcp-youtube
binary in the configuration file
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