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PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Server Cloud Fs

by nogoo9version 0.7.0i★ –iRuns on your computer
Registry nameio.github.nogoo9/mcp-server-cloud-fs

Install

Overview

Description from the maker (original English)

Cloud replacement for mcp-server-filesystem — 20 tools for S3, Azure Blob, and GCS

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: AZURE_STORAGE_CONNECTION_STRING, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AZURE_STORAGE_CONNECTION_STRING, GOOGLE_CLOUD_PROJECT, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, REDIS_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cloud-fs": {
      "command": "npx",
      "args": [
        "-y",
        "@nogoo9/mcp-server-cloud-fs"
      ],
      "env": {
        "AZURE_STORAGE_CONNECTION_STRING": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cloud-fs --env AZURE_STORAGE_CONNECTION_STRING=your-value --env GOOGLE_CLOUD_PROJECT=your-value --env AWS_ACCESS_KEY_ID=your-value --env AWS_SECRET_ACCESS_KEY=your-value --env REDIS_URL=your-value -- npx -y @nogoo9/mcp-server-cloud-fs

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cloud-fs": {
      "command": "npx",
      "args": [
        "-y",
        "@nogoo9/mcp-server-cloud-fs"
      ],
      "env": {
        "AZURE_STORAGE_CONNECTION_STRING": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cloud-fs": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@nogoo9/mcp-server-cloud-fs"
      ],
      "env": {
        "AZURE_STORAGE_CONNECTION_STRING": "your-value",
        "GOOGLE_CLOUD_PROJECT": "your-value",
        "AWS_ACCESS_KEY_ID": "your-value",
        "AWS_SECRET_ACCESS_KEY": "your-value",
        "REDIS_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AZURE_STORAGE_CONNECTION_STRING secret env
    Azure Blob Storage connection string (required when using the azure provider)
  • GOOGLE_CLOUD_PROJECT env
    Google Cloud project ID (optional when using the gcs provider)
  • AWS_ACCESS_KEY_ID secret env
    AWS Access Key ID (optional for S3 — falls back to ~/.aws/credentials or IAM role)
  • AWS_SECRET_ACCESS_KEY secret env
    AWS Secret Access Key (optional for S3 — falls back to ~/.aws/credentials or IAM role)
  • REDIS_URL env
    Redis connection URL (required when --cache-store redis, defaults to redis://localhost:6379)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account nogoo9, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1395 servers in this category
  • Published to the registry more recently than 22% of the other 1395 servers in this category
  • Basic checks equal to or better than 100% of the other 1395 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Server Cloud Fs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AZURE_STORAGE_CONNECTION_STRING, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@nogoo9/mcp-server-cloud-fs

Cloud replacement for mcp-server-filesystem — 30 tools for S3, Azure Blob, and GCS.

Deploy locally via STDIO or remotely over HTTP/WebSocket with OAuth 2.1 auth.

Also available as an npm library and interactive TUI.

📖 Read the full documentation →

Providers: Amazon S3 · Azure Blob Storage · Google Cloud Storage · MinIO · RustFS · Cloudflare R2 · Backblaze B2 · Wasabi · LocalStack · SQLite · In-Memory


Table of Contents

  • What it does
  • Quick start
  • Interactive Shell
  • Transports
  • Authentication & Authorization
  • Production Features
  • CLI Reference
  • Provider Setup
  • MCP Client Config
  • Tool Reference
  • Architecture: VFS
  • Caching
  • Programmatic Usage
  • MCP Inspector
  • Development & Testing
  • AI Agent Skill
  • Documentation
  • License

What it does

@nogoo9/mcp-server-cloud-fs exposes all 14 tools defined by mcp-server-filesystem — same tool names, same parameter schemas — over cloud object storage. Drop it into any MCP client config that currently points at mcp-server-filesystem and your AI assistant gains read/write access to S3, Azure Blob Storage, or Google Cloud Storage buckets.

It also includes 5 extended tools inspired by claude-code's filesystem tool surface: line-range reads, byte-range chunk reads, in-process regex search (single file and multi-file), server-side copy, and opt-in deletion. Plus 6 cloud-native tools (presigned URLs, object metadata/tags, tag-based search, version history, version restore), 2 AI-native tools (schema extraction, file summarization), and 1 macro tool (patch_file for atomic diffs).

A Virtual Filesystem (VFS) layer provides FUSE-like cache coherence with ETag-based concurrency control, a shell tool lets you run POSIX-like commands (ls, grep, jq, cat | wc, etc.) against cloud storage, and the package is available as a programmatic npm library.

v0.7.0 Highlights
  • Dynamic tool surface reduction: scope-aware tool filtering — clients only see tools they're authorized to use
  • DLP content sanitization: regex-based middleware redacts PII, API keys, and credentials from tool responses (--enable-dlp)
  • AI-native tools: get_file_schema extracts CSV/JSON structure; summarize_file returns compact head/tail previews
  • ETag concurrency control: SHA-256 content-addressable ETags with expected_etag conflict detection on edit_file and patch_file
  • `patch_file` macro tool: atomic read-diff-write in a single tool call — supports unified diffs and line-range replacements
v0.6.0 Highlights
  • Cloud-native tools: presigned URLs, object metadata/tags, version history, version restore
  • Byte-range reads: read_file_chunk fetches specific byte ranges without downloading the full object
  • Structured audit logging: tool invocation audit trail with pluggable sinks (stderr, file)
  • Multi-provider routing: MultiProvider serves S3 + Azure + GCS from a single server instance
  • Azure Managed Identity: DefaultAzureCredential for OIDC and federated auth
  • Connection health-check: startup credential validation with diagnostic reporting
  • MCP Resources: browse cloud storage as native MCP Resources (no tool calls needed)
  • Structured errors: CloudError with typed codes and provider-specific error mappers
v0.5.0 Highlights
  • Interactive TUI (`cloud-fs`): Terminal shell with cd, tab completion, and command history
  • Multi-transport: STDIO (default), Streamable HTTP, and WebSocket
  • Dual runtime: Bun-native and Node.js support (HTTP transport + SQLite provider)
  • OAuth 2.1: Built-in auth server or external IdP token validation
  • ext-auth extensions: Client Credentials (M2M) and Enterprise-Managed Authorization (SSO)
  • Production hardening: Rate limiting, CORS, security headers, health checks, structured logging
  • AI agent skill: Installable skills/cloud-fs for Claude Code, Gemini CLI, and other AI assistants

Quick start

Local (STDIO — default)
npx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket
Remote (HTTP)
# Bun (zero Express dependency)

bunx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport http --port 3000

Node.js (requires express peer dep)

npx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport http --port 3000

Remote (WebSocket — Bun only)
bunx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport ws --port 3000
Demo (no cloud credentials needed)
bunx @nogoo9/mcp-server-cloud-fs memory mem://demo --enable-shell --seed-demo

Interactive Shell (cloud-fs)

Drop into an interactive terminal for exploring and managing cloud storage — no MCP client needed:

# S3

npx -p @nogoo9/mcp-server-cloud-fs cloud-fs s3 s3://my-bucket

In-memory demo with sample files

npx -p @nogoo9/mcp-server-cloud-fs cloud-fs memory mem://demo --seed-demo

With a config file (cloud-fs.json in CWD)

npx -p @nogoo9/mcp-server-cloud-fs cloud-fs

Features
  • `cd` navigation — cd data, cd .., cd / with dynamic prompt showing current directory
  • Tab completion — context-aware path and command completion
  • Command history — persistent across sessions (~/.cloud-fs_history)
  • Relative paths — all commands resolve relative to cwd, just like a real shell
  • 19 built-in commands — ls, cat, head, tail, cp, mv, rm, mkdir, touch, stat, find, grep, wc, du, echo, tee, diff, jq, cd
  • Pipes & redirects — cat config.json | jq '.database', echo hello > file.txt
Local development
bun src/cli-tui.ts memory mem://demo --seed-demo

Transports

The server supports three MCP transports, selected via --transport:

TransportFlagRuntimeUse case
STDIO--transport stdio (default)Bun, NodeLocal npx, Claude Desktop, Claude Code
Streamable HTTP--transport httpBun ✅, Node ✅Remote deployment, multi-user, enterprise
WebSocket--transport wsBun onlyLow-latency bidirectional, real-time apps
Streamable HTTP

Implements the MCP Streamable HTTP specification with a single /mcp endpoint for POST (requests), GET (SSE notifications), and DELETE (session termination).

Dual runtime support:

  • Bun: Uses WebStandardStreamableHTTPServerTransport with Bun.serve() directly — zero Express dependency, maximum performance.
  • Node.js: Falls back to StreamableHTTPServerTransport with Express. Requires express as an optional peer dependency (npm install express).

Runtime is auto-detected at startup.

Session management:

Sessions use UUID v7 (RFC 9562) — time-ordered and K-sortable, making them ideal for logging, debugging, and database indexing. Sessions are tracked via the Mcp-Session-Id header.

Resumability:

When an EventStore is configured, clients can reconnect and resume receiving messages from where they left off via the Last-Event-ID SSE header.

# Basic HTTP server

cloud-fs-mcp s3 s3://my-bucket --transport http --port 3000

With authentication

cloud-fs-mcp s3 s3://my-bucket --transport http --port 3000 --auth builtin --auth-issuer https://my-server.example.com

Production deployment

cloud-fs-mcp s3 s3://my-bucket \ --transport http --port 3000 --host 0.0.0.0 \ --auth external --auth-jwks-uri https://login.example.com/.well-known/jwks.json \ --cors-origin https://app.example.com \ --rate-limit 60 --rate-limit-burst 10 \ --security-headers \ --request-logging

WebSocket

Bun-native WebSocket transport using Bun.serve() with WebSocket upgrade handling. Provides lower latency than HTTP for high-frequency tool invocations.

  • JSON-RPC message framing over WebSocket
  • UUID v7 session assigned on upgrade
  • WS ping/pong heartbeat for connection liveness
cloud-fs-mcp s3 s3://my-bucket --transport ws --port 3000

Authentication & Authorization

Authentication is disabled by default and only applies to HTTP/WS transports. STDIO mode never requires auth.

Auth modes
ModeFlagDescription
none--auth none (default)No authentication. Suitable for local/trusted networks.
builtin--auth builtinSelf-hosted OAuth 2.1 Authorization Server. The MCP server acts as both AS and RS.
external--auth externalValidate bearer tokens against an external IdP (Okta, Auth0, Keycloak, Azure AD).
Built-in OAuth server (--auth builtin)

The server runs a full OAuth 2.1 Authorization Server using the MCP SDK's mcpAuthRouter():

  • Authorization Code + PKCE (mandatory) — interactive user consent flow
  • Dynamic Client Registration — MCP clients auto-register on first connect
  • Refresh token rotation — single-use refresh tokens prevent replay
  • Metadata discovery — /.well-known/oauth-authorization-server (RFC 8414) and /.well-known/oauth-protected-resource (RFC 9728)
cloud-fs-mcp s3 s3://my-bucket \

--transport http --port 3000 \ --auth builtin --auth-issuer https://my-server.example.com

External IdP (--auth external)

The server only validates bearer tokens — it does not issue tokens. Use this when you have an existing identity provider.

  • JWKS validation — fetches and caches signing keys from your IdP
  • JWT verification — checks signature, issuer,

Only the beginning is shown; read the rest in the repo

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