"Open Source Data Resources and Information" matching MCP servers:

MCP Server for Eyevinn Open Source Cloud API, enabling creation of solutions based on open web services. Web services based on open source where the creator gets a share of the revenue the platform generates.

Enables AI agents to query S3 data lakes using natural language, with support for CSV, JSON, Parquet and tools for data discovery, analysis, and metadata exploration.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

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.

A read-only MCP server that exposes a configured Google Drive folder to MCP clients, enabling them to list, search, and extract content from various file formats like Excel, CSV, PDF, DOCX, and images.

MCP server that lets AI agents read and search project documents in OMOS Shared Drive, with source-referenced answers and Google Drive links.

Turn any public MEGA folder into a knowledge source for Claude & other LLMs

One place for every AI agent's pages and docs. Publish HTML, build folders, ZIPs, PDFs and Office documents as sandboxed, versioned share links, then search, read and update them later from any MCP client. Sign in with Google or GitHub via OAuth. Open source and self-hostable: https://github.com/lexmount/artifact-site

A PUT-only MCP server for MinIO that enables file, batch, and streaming uploads with automatic date/machine/file path organization and metadata generation for data archiving.

Enables durable, encrypted, cryptographically verified storage for MCP agents with self-serve signup and 12 GB free tier.

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

Enables AI assistants to store and retrieve data using the Walrus decentralized storage network. Supports blob storage operations, retrieval by ID, and blockchain-verified availability through the Sui network.

An MCP server for Sakura Cloud that enables interaction with cloud resources and object storage. It allows users to manage Sakura Cloud infrastructure through natural language interfaces using the Model Context Protocol.

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.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

🪐 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 clients to manage Naver Cloud MYBOX files and folders through the MYBOX Open API, including listing, uploading/downloading, copying/moving, renaming, searching, favoriting, and trash operations.

Enables management of Zadara VPSA Storage Arrays and Object Storage endpoints, including volume operations, snapshot creation, and bucket management. It allows users to interact with storage resources and retrieve performance metrics using natural language or custom API requests.