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Why this server?
Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files, which could include scanned documents.
Why this server?
Integrates with Google Drive to enable listing, searching, and reading files, plus reading and writing to Google Sheets. Scanned documents might be stored here.
Why this server?
This server facilitates basic file system operations such as navigation, reading, writing, and file analysis, allowing users to manage directories and files efficiently, including potentially opening scanned documents.
Why this server?
A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities, which could also apply to scanned documents if saved as text.
Why this server?
A secure MCP server enabling read-only access and file search capabilities within a specified directory, while respecting .gitignore patterns, allowing safe browsing of local folders.
Why this server?
Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
Why this server?
A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol. This may be useful if the scanned documents are stored in a GitHub repo.