Extracts and converts YouTube video information through browser automation tools exposed over MCP.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
This server is confirmed live โ we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by YouTube.
browser_closeClose the page
browser_resizeResize the browser window
browser_console_messagesReturns all console messages
browser_handle_dialogHandle a dialog
browser_evaluateEvaluate JavaScript expression on page or element
browser_file_uploadUpload one or multiple files
Klavis-AI/YouTube MCP server provides an MCP interface for extracting and converting YouTube video information. The supplied tool list shows a browser-oriented implementation: an agent can open a URL, inspect the page, interact with its controls, and retrieve page or network details.
The server is therefore suited to workflows where the required information is available through a YouTube web page. It does not expose a small set of named YouTube operations in the provided material, such as a dedicated video-search or transcript tool. Instead, the agent works with general browser capabilities.
Klavis-AI/YouTube MCP server uses browser actions to operate on a current page. Navigation and history tools move between URLs, while snapshots and text search help an agent locate content in the page's accessibility tree. Clicking, typing, form filling, selecting options, hovering, dragging, keyboard input, and dialog handling support interaction with page controls.
For inspection, the server can return browser console messages, list network requests, and retrieve full details for an individual request. It can also capture screenshots, wait for text to appear or disappear, resize the browser window, and manage multiple tabs. JavaScript can be evaluated against a page or element. The browser_run_code_unsafe capability runs Playwright code in the server process and is explicitly described as RCE-equivalent, so it should be treated as a high-risk operation.
The repository README documents several ways to use Klavis services: a cloud-hosted option at klavis.ai, self-hosted Docker examples for another Klavis MCP server, and SDK or REST API examples for creating server instances. The supplied material does not provide a YouTube-specific Docker image, package name, startup command, MCP configuration block, or required environment variable.
Klavis-AI/YouTube MCP server can therefore be evaluated as part of the Klavis MCP integration offering, but a developer should consult the linked Klavis documentation for the exact deployment path for this server. The README's SDK and REST examples use a Klavis API key for those platform-management operations; the material does not establish that the local YouTube browser server itself requires that credential.
Available capabilities include:
These tools support browser-level extraction and conversion workflows, but the supplied material does not specify the output format or identify which video fields are converted.
The provided description is limited to extracting and converting YouTube video information, while the detailed tool list describes general browser automation. No YouTube API credentials, rate limits, supported video fields, transcript behavior, or conversion formats are documented in the supplied material.
Klavis-AI/YouTube MCP server also has no project-specific installation command stated in the excerpt. Compatibility with Claude Desktop, Cursor, Windsurf, and Cline is not confirmed. Treat arbitrary-code execution as sensitive because the README identifies the unsafe Playwright tool as equivalent to remote code execution in the server process.
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