ClaudeClear MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| rewrite_textA | Rewrites a passage of text at the sentence and clause level, preserving meaning, facts, numbers, names, and code, while removing the statistical pattern that Claude content detectors flag. Use this to clean text copied from Claude, Claude Code, or the Claude API before publishing. |
| strip_image_metadataA | Removes C2PA 'Made with Claude' credentials, EXIF, XMP, ICC, and all other metadata from images. Supports JPG, PNG, WebP, GIF, TIFF. Free to use, no API key required. Returns the cleaned image as a downloadable file. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools are completely distinct: one operates on text content by rewriting, the other strips metadata from image files. There is no overlap or ambiguity in choosing between them.
Both tools follow the same verb_noun snake_case pattern (rewrite_text, strip_image_metadata), making the API predictable. The verbs clearly indicate the action and the nouns specify the target.
With only two tools the server is minimal, and while each tool serves a distinct purpose, the set feels thin for a general 'remove Claude traces' offering. It is acceptable for a narrow special-purpose server but is on the small side.
The server covers the two main content types that would carry Claude fingerprints: text and images. Minor gaps exist, such as document/PDF metadata cleaning or a verification/detection tool, but the core workflows are covered.