"Creating an MCP Server Using an API" matching MCP servers:

An MCP server that enables interaction with Google Cloud Filestore API, allowing management of Filestore instances, backups, and shares through natural language commands.

An auto-generated MCP server that enables interaction with Google Kubernetes Engine Hub API for multi-cluster management through natural language commands.

MCP server for OVHcloud Object Storage, enabling management of buckets, objects, project users, S3 credentials, and storage policies. Read-only by default with opt-in write tools.

Enables reading of Aprimo DAM asset metadata, fields, and files through the Aprimo REST API. Designed for deployment on Azure via Docker.

This server enables multi-agent conversations that interact with the Google Drive API, allowing agents to perform file operations, manage permissions, and handle Google Drive content through a standardized protocol.

MCP server for 2DAI that enables AI assistants to generate images and videos, upload references, browse the public feed, and manage cloud drive on a 2DAI account.

An MCP server that exposes Backblaze B2 Cloud Storage as tools any MCP-compatible AI client can call. Manage B2 by talking to an assistant -- list buckets, upload, download, delete versions, and check usage against a budget.

Enables management of Scaleway IAM (applications, API keys, policies, permission sets) and Object Storage bucket policies through an MCP server.

An MCP server that wraps the rustypaste API, allowing users to upload text, files, and URLs to a rustypaste instance. It supports features such as single-use links, file expiration, and URL shortening.

Enables users to upload files and generate tracked, shareable links directly from AI agents like Claude Desktop or Cursor. It supports publishing various file formats including text, PDFs, and images, while providing tools for artifact management and analytics.

Connects LLMs to the ObjectLens REST API, enabling browsing S3-compatible buckets, searching indexed object metadata, and previewing object contents.

An MCP server for managing Shelv shelf operations, enabling users to list, search, and read files within shelves. It also supports optional write functionalities for creating and hydrating shelves through configured tools.

Provides decentralized storage for AI agents, enabling them to save generated content to MEFS and retrieve data via content identifiers.

MCP server for the Rclone RC API that enables AI assistants to manage cloud storage remotes, copy/sync files, and list directories through natural language.

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.

MCP server for interacting with Google Drive using a service account, restricted to a specific root folder. Supports file operations like search, list, create, update, and read.

MCP server for multi-tenant DuckDB management with R2/S3 cloud storage, enabling AI agents to manage per-user databases with automatic cloud persistence.

MCP server for MEGA encrypted cloud storage providing file management, uploads, downloads, sharing, folder sync, and search.

A Model Context Protocol server implementation that enables Claude to perform AWS operations on S3 and DynamoDB services through natural language commands.

Enables AI agents to perform file operations and sharing management on NextCloud servers via the Model Context Protocol.