Upload local files to convert them into Markdown format using the Markdownify MCP Server. Get instructions for handling files that aren't accessible to remote servers.
Transfer local files to Databricks Unity Catalog volumes for efficient processing. Supports large files with progress tracking, error handling, and optional overwrite.
Access complete Turbo Streams API documentation for stream actions, JavaScript methods, and programmatic stream handling to implement real-time updates in web applications.
A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.
Extracts and analyzes key frames from Loom videos or local video files for debugging purposes. Automatically detects scene changes and provides visual context for troubleshooting issues.
A Model Context Protocol (MCP) server that allows AI models to safely access and interact with local file systems, enabling reading file contents, listing directories, and retrieving file metadata.