"A platform for cloud storage and file management" matching MCP servers:

AI-powered VMware storage management for vSphere. Manage datastores, iSCSI targets, and vSAN via natural language with 11 MCP tools.

This read-only MCP Server allows you to connect to Google Cloud Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Google Cloud Storage (https://www.cdata.com/drivers/googlecloudstorage/download/mcp).

A lightweight MCP data broker that stores large binary payloads under a UUID, enabling MCP clients and agents to exchange massive results without flooding the LLM context window.

Provides persistent, inspectable memory storage for AI agents using SQLite. Agents can store, recall, and search memories across sessions via three MCP tools.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Enables secure file and bucket management operations with Supabase Storage through enterprise-grade security features, batch uploads/downloads, and comprehensive file management capabilities. Supports both local file paths and base64 data with advanced transformations and auto-download functionality.

Enables AI applications to interact with decentralized storage through a standardized Model Context Protocol interface, allowing file uploads, retrievals, and identity management.

Enables management of Azure Cloud PCs using the Microsoft Graph API, allowing users to list available Cloud PCs in their tenant through Claude Desktop.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Enables interaction with Google Cloud Storage buckets and blobs through an MCP server, supporting operations like listing, uploading, searching, batch operations, and generating signed URLs.

An MCP server deployed on Cloud Run that enables reading Cloud Storage and leveraging Vertex AI models via natural language.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for IBM Cloud Object Storage (beta): https://www.cdata.com/download/download.aspx?sku=GMZK-V&type=beta

MCP server for end-to-end encrypted secret storage and retrieval, enabling LLM agents to fetch secrets by name via one-time URLs while keeping plaintext out of model context and logs.

Read-only Azure storage intelligence MCP server enabling scoped investigations, risk analytics, cost savings simulation, data health checks, and admin tenant-wide discovery across a synthetic storage estate.

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.

A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables local file management through natural language interactions using the Gemini API, with tools for listing, reading, writing, deleting, and updating files.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.