youtube-connector-mcp

InstallView on GitHub

youtube-connector-mcp is an MCP server by ShellyDeng08. MCP server for YouTube — search videos, channels, playlists, and transcripts. Works with Claude, Cursor, Windsurf, and any MCP client. It has 72 GitHub stars and ranks #434 of 2017 in Media & Design by stars.

Category
Media & Design
Author
ShellyDeng08
GitHub stars
72
This week
Tracking since 18 Oct 2026
Language
Python
License
Not stated
Last update
2026-03-19 (7 months ago)
Links
SourceWebsitePyPI

How to install youtube-connector-mcp

youtube-connector-mcp is published on PyPI as youtube-connector-mcp, and it depends on mcp. These steps assume it runs as a local stdio server, which is the usual setup.

  1. Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.
  2. Add it to Claude Code from a terminal:
    claude mcp add youtube-connector-mcp -- uvx youtube-connector-mcp
  3. Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:
    {
      "mcpServers": {
        "youtube-connector-mcp": {
          "command": "uvx",
          "args": [
            "youtube-connector-mcp"
          ]
        }
      }
    }
  4. Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm youtube-connector-mcp and its tools are listed. The install guide covers VS Code and Codex.

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Frequently asked questions

What is youtube-connector-mcp?

youtube-connector-mcp is an MCP server by ShellyDeng08 in the Media & Design category. MCP server for YouTube — search videos, channels, playlists, and transcripts. Works with Claude, Cursor, Windsurf, and any MCP client. It has 72 GitHub stars and ranks #434 of 2017 in Media & Design by stars.

Is youtube-connector-mcp free and open source?

The listing has no license field, which usually means the repository does not declare one. Without a license the code is not open source by default, so ask the maintainer before reusing it. You can still read the code and the README at the source link.

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