# mcp-server-cloud-fs MCP Server

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

**Publisher claimed.** No tool list reported, and Pod has not connected to this server.

## Status

Pod has not dialled mcp-server-cloud-fs yet, so everything on this page is what its publisher reported rather than what we observed. Registries describe servers; they do not connect to them. Until a check runs, treat the tool list below as a claim.

## Connect

Published as `@nogoo9/mcp-server-cloud-fs` on npm. Runs locally.

## Known issues

**16 problems reported by people outside the maintainer team.** Issues filed by the project's own owners, members and collaborators are excluded — those are release checklists and internal refactors, not things that will go wrong for you. Showing 12.

### Most discussed

### Security: Path Traversal in path-utils.ts allows reading files outside allowed roots

I have discovered a Path Traversal vulnerability in  that allows users to bypass root confinement.

Vulnerability:
The  function implements a simple stack-based normalization for  segments. However, it does not prevent 'root underflow'. If a path starts with enough  segments, the stack remains empty, and the resulting normalized key is relative to the system root (or the bucket root) rather than the configured root prefix.

Example:
If a root is configured as , a path like  will be normalized to

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/28) · 2026-06-12 · open · external user · 0 comments

### feat: patch_file macro tool for unified read-diff-write operations

## Summary

Currently, an LLM must: (1) read_file, (2) compute changes, (3) call edit_file. The `patch_file` tool accepts a unified diff or line-based patch and applies it atomically in a single tool call.

## Proposed Solution

- New `patch_file` tool in `src/tools/patch.ts`
- Supports `unified` format: standard unified diff hunks (`@@ -start,count +start,count @@`)
- Supports `line_replace` format: simpler line-range replacement blocks
- Optional `expected_etag` for concurrency safety (uses Fe

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/26) · 2026-05-18 · closed · 0 comments

### feat: optimistic concurrency control via ETags in VFS

## Summary

When multiple agents concurrently modify the same object, the last write silently wins. ETag-based conflict detection gives `edit_file` the ability to reject stale writes.

## Proposed Solution

- Add optional `etag` field to `VfsStat` (SHA-256 content hash)
- Compute etag on `put()`, persist in inode overlay
- Add optional `expected_etag` parameter to `edit_file`
- If current etag != expected_etag, reject with conflict error
- Include etag in `read_text_file` response metadata
- Add

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/25) · 2026-05-18 · closed · 0 comments

### feat: get_file_schema and summarize_file AI-native tools

## Summary

LLMs currently must read entire files to understand their structure. For CSVs, JSONs, and large text files, this wastes context tokens. Two lightweight tools that extract structural metadata server-side dramatically reduce cognitive load.

## Proposed Solution

- `get_file_schema`: For CSV, parse headers and infer column types from sample rows. For JSON, extract shape (keys, nesting, array vs object). For other text, return line/byte counts.
- `summarize_file`: Return file size, line

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/24) · 2026-05-18 · closed · 0 comments

### feat: DLP middleware for PII/secret redaction in tool responses

## Summary

When LLM agents read files from cloud storage, sensitive content (API keys, PII, credentials) is sent to the LLM context window. A server-side DLP interceptor should automatically redact known sensitive patterns before content leaves the server.

## Proposed Solution

- Create `src/middleware/dlp.ts` with regex-based content sanitization
- Default patterns: AWS keys, emails, SSN, credit cards, JWTs, generic API keys
- Opt-in via `--enable-dlp` CLI flag
- Wraps tool handler responses 

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/23) · 2026-05-18 · closed · 0 comments

### Most recent

### feat: Multi-provider routing (Cloud Hub mode)

# Multi-Provider Routing ("Cloud Hub")

## Problem

Currently, a single server instance is locked to **one** provider type (S3 OR Azure OR GCS). Users managing multi-cloud environments need separate server instances for each provider. This is operationally complex and wastes resources.

## Design

### Goal

A single `cloud-fs-mcp` instance routes requests to the correct provider based on the URI scheme:

```bash
cloud-fs-mcp multi s3://prod-data az://backups gs://ml-models
```

### Architecture

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/18) · 2026-05-14 · closed · 0 comments

### feat: Descriptive cloud-aware error handling

# Descriptive Cloud-Aware Error Handling

## Problem

Current error handling uses generic catch-all messages. Cloud storage failures have specific, actionable causes that should be surfaced: rate limiting, region mismatches, permission denied, bucket not found, etc.

## Design

### Error Taxonomy

| Error Code | Description | Provider Source |
|---|---|---|
| `RATE_LIMITED` | "Rate limited by AWS. Retry after X seconds." | S3 `SlowDown`, Azure `429`, GCS `429` |
| `REGION_MISMATCH` | "Bucket is 

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/17) · 2026-05-14 · closed · 0 comments

### feat: Object versioning tools (list_versions, restore_version)

# Object Versioning Tools (`list_versions`, `restore_version`)

## Problem

Cloud object stores with versioning maintain complete history. AI agents that write files need the ability to undo mistakes. Currently, no MCP tool exposes versioning.

## Design

### New Tools

#### 1. `list_versions`

```typescript
server.registerTool("list_versions", {
  inputSchema: z.object({
    path: z.string(),
    max_versions: z.number().int().positive().default(20),
  }),
});
```

Returns array of `{ versionId

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/16) · 2026-05-14 · closed · 0 comments

### feat: Object metadata & tag search tools

# Object Metadata & Tag Search Tools

## Problem

Cloud objects are more than just bytes — they carry **metadata** (Content-Type, Cache-Control, custom headers) and **tags** (key-value pairs for classification, cost allocation, lifecycle management). The current toolset treats objects as opaque files, missing these cloud-native capabilities.

Use cases:
- "Find all objects tagged `environment=production`"
- "Show me the metadata for this config file"
- "Tag all CSV files under `data/` with `depa

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/15) · 2026-05-14 · closed · 0 comments

### feat: get_presigned_url tool for temporary download/upload URLs

# `get_presigned_url` Tool

## Problem

When an LLM needs to share a cloud-stored file with the user (e.g., an image, PDF, or large dataset), it currently has two bad options:

1. **`read_file`** — downloads the entire file and returns it as text/base64 in the response (expensive, hits token limits)
2. **Tell the user to go find it** — provides the `s3://` URI which isn't directly accessible via browser

Cloud providers support **presigned URLs** — temporary, authenticated HTTPS URLs that grant 

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/14) · 2026-05-14 · closed · 0 comments

### feat: Audit logging for tool invocations

# Audit Logging for Tool Invocations

## Problem

Enterprise environments require visibility into **what the LLM did** with cloud storage access. Currently, there is no structured audit trail of which tools were called, what resources were accessed, or what data was modified. The existing `--request-logging` flag logs HTTP requests but not MCP tool-level semantics.

## Design

### Log Format

Structured JSON log entries emitted to stderr (following MCP convention):

```json
{
  "timestamp": "202

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/13) · 2026-05-14 · closed · 0 comments

### feat: Streaming & chunked file reading (read_file_chunk)

# Streaming & Chunked File Reading

## Problem

The current `read_file` / `read_text_file` tools download the **entire file** into memory before returning it to the LLM. For large files (logs, CSVs, datasets), this causes:

1. **Memory pressure** — multi-MB files held in Buffer
2. **Token overflow** — LLM context windows can't handle large responses
3. **Timeouts** — slow downloads for large objects
4. **Missed optimization** — S3 and Azure support server-side byte-range reads and S3 Select (SQL

[Read the thread](https://github.com/nogoo9/mcp-server-cloud-fs/issues/12) · 2026-05-14 · closed · 0 comments

[See all 16 reports Pod holds for mcp-server-cloud-fs](/mcp/mcp-server-cloud-fs/issues).

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