anwerj/youtube-uploader-mcp

Overview

A Go-based MCP server that lets AI agents upload and schedule videos to YouTube. It wraps YouTube Data API v3 endpoints into tool calls for programmatic video management.

Best for

Best for
Developers building AI agents or automation scripts that need to publish videos to YouTube

Use cases

• Schedule video uploads from an AI workflow or agent
• Automate batch video publishing to a YouTube channel
• Integrate YouTube uploads into a larger content pipeline

How to use

Install

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/anwerj/youtube-uploader-mcp/master/scripts/install.sh)"

Tools exposed

• authenticate
• accesstoken
• channels
• refreshtoken
• upload_video
• update_video

Tested with

Claude Desktop, Cursor, VS Code, AnythingLLM

Example client config

{\n  "mcpServers": {\n    "youtube-uploader-mcp": {\n      "command": "/absolute/path/to/youtube-uploader-mcp-<os>-<arch>",\n      "args": [\n        "-client_secret_file",\n        "/absolute/path/to/client_secret.json(See Below)"\n      ]\n    }\n  }\n}

Notes

A Go-based MCP server that lets AI agents upload and schedule videos to YouTube. It wraps YouTube Data API v3 endpoints into tool calls for programmatic video management.

39 stars on GitHub. Last updated 2026-01-18. Licensed MIT.

Use cases

• Schedule video uploads from an AI workflow or agent
• Automate batch video publishing to a YouTube channel
• Integrate YouTube uploads into a larger content pipeline

Pros

• Lightweight Go implementation with no heavy dependencies
• Exposes standard MCP interface for easy integration with AI clients
• Supports both immediate upload and scheduled publishing

Cons

• Requires YouTube API credentials and OAuth setup
• Limited to upload and schedule operations (no analytics or playlist management)
• Small community and limited documentation beyond the README

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.