# Storage

> Browse 9 items tagged with Storage.

## Items

- [Filesystem](https://mcpserver.ever.works/pt/items/filesystem) — The Filesystem MCP server provides secure access to local filesystems for read/write operations, directory listing, metadata retrieval, and file management, incorporating security measures like sandboxing, configurable access controls, and permission enforcement. Key features include multi-format file support and efficient IO operations suitable for diverse use cases. Ideal for AI agent file management such as backups, content generation, and local data handling; offers direct local access unlike cloud-centric alternatives like AWS S3 MCP servers.
- [FileSystem2](https://mcpserver.ever.works/pt/items/filesystem2) — Golang-based MCP server for secure local filesystem operations, supporting read/write, directory navigation, file creation/deletion, and metadata handling with sandboxing and configurable permissions for secure AI model access. Features multi-format compatibility and high-performance file IO. Use cases include AI agent file management for tasks like data persistence and processing; provides faster, local operations compared to remote alternatives like AWS S3 MCP servers.
- [MCP Server Filesystem](https://mcpserver.ever.works/pt/items/mcp-server-filesystem) — Advanced MCP server for local, remote, and virtual filesystems, offering read/write operations, directory listing, metadata retrieval, advanced filtering, and search with robust security including auth controls and sandboxing. Key features: async operations, remote mounting, virtual FS, multi-format support. Perfect for AI agent use cases like backups, RAG pipelines, content generation; more versatile and scalable than basic FS servers or cloud options like AWS S3 MCP.
- [mcp-filesystem-server (mark3labs)](https://mcpserver.ever.works/pt/items/mcp-filesystem-server-mark3labs) — Provides MCP access to local filesystems for upload/query/sync/read/write operations, enabling AI agents to manage persistent storage securely. Key features include Golang implementation for performance, standardized MCP tools over direct SDKs. Use cases: agentic data persistence in RAG pipelines, autonomous file organization; vs filesystem libraries: adds agentic layer with LLM tool calling.
- [File System MCP Server](https://mcpserver.ever.works/pt/items/file-system-mcp-server) — Secure local file operations for AI agents: read/write/sync directories with gitignore support and privilege controls. Expanded for persistent agent storage, multi-turn file context management, enabling autonomous file workflows like document processing chains. Complements cloud storage MCPs for hybrid local/remote access.
- [NetApp](https://mcpserver.ever.works/pt/items/netapp) — MCP server for querying metrics, managing volumes, and searching across NetApp systems and services, enabling AI-driven storage infrastructure management.
- [Recall MCP Server](https://mcpserver.ever.works/pt/items/recall-mcp-server) — Simple MCP server that exposes basic Recall functionality including listing buckets, getting account balances, creating objects, and more.
- [Azure Storage MCP Server](https://mcpserver.ever.works/pt/items/azure-storage-mcp-server) — An MCP Server for Azure Storage, exposing operations on scalable, secure object storage and related services within the MCP environment.
- [Backblaze MCP Server](https://mcpserver.ever.works/pt/items/backblaze-mcp-server) — An MCP server integration for Backblaze that exposes its S3-compatible cloud storage capabilities to MCP tools for low-cost object storage workflows.

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_Canonical page: https://mcpserver.ever.works/pt/tags/storage_
