Youtube Uploader Mcp by Anwerj connects Model Context Protocol agents to YouTube so creators can publish directly from their workspace. It uploads video files and accepts metadata inputs while handling scheduling and channel selection through the MCP pipeline. Key elements include metadata management, scheduling, multi-channel support, and OAuth2 token handling. The tool targets content creators, developers, and social media managers who use AI assistants and want tighter publishing automation in their workflows.

What tasks can you actually use it for?

The tool automates the handoff between a local workspace and YouTube, letting an MCP client initiate an upload, attach titles and descriptions, and set privacy and release times programmatically. Use cases include publishing render outputs directly after a build step, having an AI assistant prepare metadata from a script, or scheduling a timed release without opening a web browser. These outcomes remove manual upload steps from an AI-driven content pipeline.

Does it require technical setup and specific inputs?

Installation requires a Node.js runtime and either an npx-based quick start or a manual setup, which suits developer workflows. A Google Cloud Project with the YouTube Data API enabled is necessary to create client credentials, so administrators must provision API access before use. The server runs on Windows, macOS, or Linux and expects an MCP-capable client to send upload requests and metadata payloads.

How does it handle credentials and who benefits most?

The tool uses OAuth2 for authorization, so users authenticate through Google's official flow and do not hand over passwords to the server. Token management is designed to keep credentials private, and the configuration supports multiple channels in one setup. Developers and teams that already use MCP agents gain the most, since the developer community notes the integration extends agent responsibilities into publishing tasks.

A practical automation piece for developer-centric publishing workflows

The tool is a practical option for creators and developers who need programmatic YouTube uploads from MCP agents. It reduces manual steps but expects technical preparation, including Node.js and API credential setup. For teams that can provision a Google Cloud Project and run an MCP server, the tool integrates publishing into automated workflows and suits those who prefer agent-driven release processes with retained OAuth2-based credential control.