Transfer local files to Databricks Unity Catalog volumes for efficient processing. Supports large files with progress tracking, error handling, and optional overwrite.
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.
Upload local files to Gemini Files API for processing with AI image generation models. Returns file URI and metadata for reuse across prompts or handling files larger than 20MB.
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.
Enables file system operations such as listing, reading, and creating files within a scoped local project directory. It provides a secure way to manage local files through standardized MCP tools built with FastMCP.
Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.