"A guide to coding a monorepo" matching MCP servers:

A development guide and reference implementation for building a custom Baidu Netdisk MCP server, enabling AI assistants to manage files and shares on Baidu Pan.

An MCP server that exposes a Google Drive folder over Streamable HTTP using a Google service account, letting users list, search, fetch metadata for, and read text files through natural language.

Enables AI apps to work with Google Drive in plain language, including searching, organizing, uploading, downloading, exporting, sharing, and commenting on files, with reversible trash and configurable access scopes.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

Enables exporting data from databases to files (CSV, TSV, JSON, BSON, Parquet, XLSX, Binary) with optional cloud storage targets, via a two-step preview-execute safety process.

Enables AI agents to create, check, deploy, and host static sites, manage files and forms, configure custom domains, and view quotas and analytics through a hosted MCP endpoint.

Enables AI coding agents to read, write, and query Google Sheets as a database through the Model Context Protocol.

Full-access MCP server for managing AR LABS (Viral AI Prompts & Guides), enabling post creation, editing, deletion, image uploads, push notifications, comment moderation, and site stats via AI assistants.

A Model Context Protocol (MCP) server for ZeroDrive file management. It enables AI assistants like Claude to interact with ZeroDrive cloud storage through a standardized interface.

Lets MCP clients publish a single file to a permanent, shareable link via whamlink. Supports tools for managing links, including registration, publishing, listing, updating access, replacing content, and deleting links.

Z-CLI provides NAS operations like file management, pool queries, search, and file operations through CLI and MCP Server, enabling AI assistants to interact with zspace private cloud.

An implementation of the Model Context Protocol that allows AI models to interact with 360 AI Cloud Drive, providing comprehensive file management capabilities including uploading, downloading, searching, and sharing files.

Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Enables interaction with Volcengine's TOS (Object Storage) service through MCP protocol. Supports bucket management, object operations, pre-signed URLs, and media processing including image manipulation and video frame extraction.

Manages .ai/ workspace folder, syncs assets with a cloud service, and generates environment-specific bootstrap files for AI context management.

Enables natural language exploration and management of Volcengine TOS storage, allowing users to list buckets, browse objects, and retrieve file contents. It supports content retrieval for various data types including text, images, and video files.

A server based on MCP protocol that allows large language models to directly access Tencent Cloud Object Storage (COS) and Cloud Infinite (CI) services without coding, enabling file storage, retrieval, and processing operations.

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

🚀 Tigris MCP Server implements the MCP specification to create a seamless connection between AI agents and Tigris key features like bucket and object management.