Remove AI Watermarks
PYPI · REMOVE-AI-WATERMARKS
Identify and remove AI watermarks and provenance metadata from your own images and video.
Available components
Last scanned (23 minutes ago)
Scores higher than 69% of PyPI servers
Category Design and Media
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security99
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 2 of 15 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 1 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 405 tokens (~135/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management20
- Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage89
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 67% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 24 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 23 Oct 26 −14
- Malware scan: pass → unverified ▼ security
- Package version: 0.47.0 → 0.47.1 functional
- 21 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 19 Oct 26 −14
- Malware scan: pass → unverified ▼ security
- Package version: 0.46.0 → 0.47.0 functional
- 18 Oct 26 69
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 24 Oct 2026 · Analysed pypi/remove-ai-watermarks@0.47.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 15 packages
| Packages resolved | 15 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
batch Remove AI watermarks from a directory ~91
Clean every supported image (media=image) or video (media=video) in a directory the user owns, writing results to a separate directory (default <dir>_clean). Modes as for the remove tool.
| Name | Type | Req | Description |
|---|---|---|---|
| directory | string | yes | Directory of input files. |
| media | string | – | – |
| mode | string | – | – |
| output_dir | string | – | Output directory. Must differ from the input. |
No output schema declared.
No examples provided.
identify Identify AI provenance ~90
Report which AI provenance signals an image or video carries: metadata (C2PA, IPTC, EXIF, TC260), visible AI-generator labels, and supported local invisible-watermark decoders. Read-only. Video is detected by file suffix.
| Name | Type | Req | Description |
|---|---|---|---|
| check_visible | boolean | – | Run the pixel and visible-mark detectors. False reads metadata only. |
| path | string | yes | Image or video file to inspect. |
No output schema declared.
No examples provided.
remove Remove AI watermarks from one file ~123
Write a cleaned copy of an image or video the user generated or edited. mode=metadata strips AI metadata without touching pixels or re-encoding video; mode=visible also removes a known visible AI label; for an image, mode=all adds the invisible-watermark scrub where the installed extras and hardware allow it. The source is never overwritten; the default output is <name>_clean beside it.
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | – | – |
| output | string | – | Output file. Must differ from the source. |
| path | string | yes | Image or video file to clean. |
No output schema declared.
No examples provided.
How do I install the Remove AI Watermarks MCP server?
Remove AI Watermarks runs locally as a PyPI package, launched with uvx remove-ai-watermarks. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · remove-ai-watermarks
claude mcp add wiltodelta-remove-ai-watermarks -- uvx remove-ai-watermarks
What is the Remove AI Watermarks MCP server?
Remove AI Watermarks is an MCP server listed in the public MCP registry as io.github.wiltodelta/remove-ai-watermarks. Identify and remove AI watermarks and provenance metadata from your own images and video. This page covers its PyPI package (remove-ai-watermarks).
Is the Remove AI Watermarks MCP server safe to use?
Remove AI Watermarks scores 72 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 October 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Remove AI Watermarks MCP server expose?
Remove AI Watermarks exposes 3 tools: identify, remove, batch. Their descriptions and schemas cost roughly 304 tokens of context every time the server is loaded.
Is the Remove AI Watermarks MCP server still maintained?
Remove AI Watermarks is still listed as active in the MCP registry. We last reached this channel on 24 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Remove AI Watermarks MCP server under?
Remove AI Watermarks declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.