• Youtube MCP server
  • About
  • What is MCP?
  • What does this server do?
  • Practical use cases
  • Prerequisites
  • Installation
  • Configuration
    • Claude Desktop Configuration
  • Development
    • Getting started
    • Debugging the server in the Inspector
  • Troubleshooting
    • Message 'Could not connect to MCP server mcp-youtube'

The server is a bridge between the Youtube API and the AI assistants and is based on the Model Context Protocol.

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.

• Download closed captions for the given video

• Create a summary of the video

• uv tool

uv tool install git+https://github.com/sparfenyuk/mcp-youtube

Configure Claude Desktop to recognize the Youtube MCP server.

1. 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

2. Add the server configuration

   {
     "mcpServers": {
       "mcp-youtube": {
           "command": "mcp-youtube",
         }
       }
     }
   }

1. Clone the repository

2. Install the dependencies

   uv sync

3. 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:

1. 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.

2. 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.

3. Done! Restart the client and the new tool should be available.

Validation can accomplished either through Claude Desktop or by running the tool directly.

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

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