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Description from the maker (original English)
Cloud replacement for mcp-server-filesystem — 20 tools for S3, Azure Blob, and GCS
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AZURE_STORAGE_CONNECTION_STRING, GOOGLE_CLOUD_PROJECT, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, REDIS_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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-fsFill in the empty values before running it.
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.
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.
GOOGLE_CLOUD_PROJECT envREDIS_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account nogoo9, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: AZURE_STORAGE_CONNECTION_STRING, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY
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).
The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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
@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.
--enable-dlp)get_file_schema extracts CSV/JSON structure; summarize_file returns compact head/tail previewsexpected_etag conflict detection on edit_file and patch_fileread_file_chunk fetches specific byte ranges without downloading the full objectMultiProvider serves S3 + Azure + GCS from a single server instanceDefaultAzureCredential for OIDC and federated authCloudError with typed codes and provider-specific error mapperscd, tab completion, and command historyskills/cloud-fs for Claude Code, Gemini CLI, and other AI assistantsnpx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket
# Bun (zero Express dependency)
bunx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport http --port 3000
npx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport http --port 3000
bunx @nogoo9/mcp-server-cloud-fs s3 s3://my-bucket --transport ws --port 3000
bunx @nogoo9/mcp-server-cloud-fs memory mem://demo --enable-shell --seed-demo
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
npx -p @nogoo9/mcp-server-cloud-fs cloud-fs memory mem://demo --seed-demo
npx -p @nogoo9/mcp-server-cloud-fs cloud-fs
cd data, cd .., cd / with dynamic prompt showing current directory~/.cloud-fs_history)cwd, just like a real shellls, cat, head, tail, cp, mv, rm, mkdir, touch, stat, find, grep, wc, du, echo, tee, diff, jq, cdcat config.json | jq '.database', echo hello > file.txtbun src/cli-tui.ts memory mem://demo --seed-demo
The server supports three MCP transports, selected via --transport:
| Transport | Flag | Runtime | Use case |
|---|---|---|---|
| STDIO | --transport stdio (default) | Bun, Node | Local npx, Claude Desktop, Claude Code |
| Streamable HTTP | --transport http | Bun ✅, Node ✅ | Remote deployment, multi-user, enterprise |
| WebSocket | --transport ws | Bun only | Low-latency bidirectional, real-time apps |
Implements the MCP Streamable HTTP specification with a single /mcp endpoint for POST (requests), GET (SSE notifications), and DELETE (session termination).
Dual runtime support:
WebStandardStreamableHTTPServerTransport with Bun.serve() directly — zero Express dependency, maximum performance.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
cloud-fs-mcp s3 s3://my-bucket --transport http --port 3000 --auth builtin --auth-issuer https://my-server.example.com
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
Bun-native WebSocket transport using Bun.serve() with WebSocket upgrade handling. Provides lower latency than HTTP for high-frequency tool invocations.
cloud-fs-mcp s3 s3://my-bucket --transport ws --port 3000
Authentication is disabled by default and only applies to HTTP/WS transports. STDIO mode never requires auth.
| Mode | Flag | Description |
|---|---|---|
none | --auth none (default) | No authentication. Suitable for local/trusted networks. |
builtin | --auth builtin | Self-hosted OAuth 2.1 Authorization Server. The MCP server acts as both AS and RS. |
external | --auth external | Validate bearer tokens against an external IdP (Okta, Auth0, Keycloak, Azure AD). |
--auth builtin)The server runs a full OAuth 2.1 Authorization Server using the MCP SDK's mcpAuthRouter():
/.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
--auth external)The server only validates bearer tokens — it does not issue tokens. Use this when you have an existing identity provider.
Only the beginning is shown; read the rest in the repo