nogoo9 / mcp-server-cloud-fs / 26047347173

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feat: v0.7.0 — AI-native tools, DLP, ETags, scope filtering, patch_file (#27)

* feat(auth): dynamic tool surface reduction based on OAuth scopes (#22)

Add scope-based tool filtering to createMcpServer. When grantedScopes
is provided in ServerContext, only tools matching the granted OAuth
scopes are registered — removing unauthorized tools from tools/list
entirely (not just denying invocation).

New exports from src/auth/scopes.ts:
- getToolsForScopes(scopes): returns accessible tool names
- shouldRegisterTool(name, scopes): boolean check for registration

Backwards-compatible: omitting grantedScopes registers all tools.

Closes #22

* feat(middleware): DLP content sanitization for PII/secret redaction (#23)

Add Data Loss Prevention middleware that redacts sensitive content
(AWS keys, emails, SSN, credit cards, JWTs, API keys) from tool
responses before they reach the MCP client.

New files:
- src/middleware/dlp.ts: sanitizeContent() + applyDlpWrapper()
- src/middleware/dlp.test.ts: 14 tests covering all default patterns

Opt-in via --enable-dlp CLI flag. Ships 9 default regex patterns.

Closes #23

* feat(tools): AI-native get_file_schema and summarize_file tools (#24)

Add two tools that extract structural metadata server-side,
reducing LLM context token waste:

- get_file_schema: CSV column detection with type inference,
  JSON shape analysis, generic text line/byte counts
- summarize_file: compact head/tail summary without full read

Pure TypeScript — no new dependencies. Mapped to cloud-fs:read scope.

Closes #24

* feat(vfs): optimistic concurrency control via ETags (#25)

Add content-addressable ETags (SHA-256) to the VFS layer for
multi-agent conflict detection:

- put() computes and stores etag in inode overlay
- stat() returns etag when available
- edit_file accepts optional expected_etag parameter
  - matching etag: edit proceeds normally
  - mismatching etag: returns conflict error with instructions
  - omitted: backwards-compatible, no ... (continued)

447 of 563 new or added lines in 7 files covered. (79.4%)

3398 of 4980 relevant lines covered (68.23%)

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