"Information about SQL (Structured Query Language)" matching MCP servers:

Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.

Enables creating storage buckets and uploading media files to Supabase Storage through natural language, with no delete or overwrite capabilities.

A read-only MCP server for Akamai Cloud (Linode) that lets users ask plain-language questions about their account, including inventory, pricing, GPU availability, and account limits.

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

A security-first MCP server for managing Whatbox slots with structured read-only inspection and approval-gated mutations, including storage, services, website deployment, and torrent control.

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

A Model Context Protocol server that enables Claude Desktop and other MCP clients to interact with WebDAV file systems through natural language commands for CRUD operations.

Enables unified access to both structured databases (PostgreSQL, MySQL, SQLite, etc.) and unstructured object storage (AWS S3, Alibaba OSS, Huawei OBS, etc.) through a single interface.

MCP server providing backend access to PostgreSQL, Storage (Supabase/S3), Iceberg data lake, and SQL seeds. It offers 32 tools for database queries, storage operations, seed management, and more.

A Model Context Protocol server for interacting with Lanzou Cloud storage. It provides authentication, file listing, download information retrieval, and direct link parsing capabilities for Lanzou Cloud services.

🪐 MCP IPFS Server This server empowers language models 🤖 and other MCP clients to manage storacha.network spaces, upload/download data, manage delegations, and perform various other tasks by seamlessly wrapping w3 commands.

Enables AI assistants to search, query, and manage ocean/environmental datasets from the Oceanum platform, and to read, write, and delete files in Oceanum cloud storage.

Enables AI-driven interaction with CTERA Portal APIs for file and folder management through natural language or automation workflows.

Enables AI assistants to manage Backendless applications, including databases, users, files, and API services, through natural language commands, with support for OAuth2 authentication and hosted endpoints.

Enables AI assistants to manage Cloudinary media assets, including uploading, searching, transforming, and organizing images and videos through natural language.

Provides MCP tools for AWS S3 and S3-compatible storage, enabling file upload, download, listing, deletion, and temporary remote file staging via natural language.

Enables seamless integration with Backblaze B2 cloud storage for managing buckets, uploading/downloading files, handling large multipart uploads, and managing application keys through natural language interactions.

Enables AI agents to access EasyBits cloud services through a single MCP endpoint, including sandboxes, web search and extraction, file management, SQL databases, documents, video, and app/website hosting.

Enables secure, read-only access to Firebase Firestore collections and Storage buckets for Digital Asset Management systems. It allows users to query assets, versions, and comments, and search storage files using flexible filters through standard MCP tools.

Enables Claude Desktop to read, write, and manage Google Sheets through natural language conversation using the Model Context Protocol.