# Copyleaks — MCP server on mcp.ai
> Connect your Copyleaks account and use 6 tools for AI content generation straight from your AI agent. Connect with your own API key. Copyleaks provides plagiarism, AI content, image, video, moderation, and writing analysis APIs.

By: mcp.ai · official
Page: https://mcp.ai/copyleaks

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_copyleaks?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/copyleaks/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/copyleaks/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/copyleaks/skill.md
Postman collection (v2.1): https://mcp.ai/copyleaks/postman.json

## Tools
- copyleaks_check_writing(text: string, sandbox?: boolean, scan_id: string, language?: string, score_weights?: object) — Return grammar, mechanics, structure, word-choice, and readability feedback synchronously. By default this returns fixed sandbox mock output, not feedback on the submitted text; set sandbox=false for 
- copyleaks_detect_ai_text(text: string, explain?: boolean, sandbox?: boolean, scan_id: string, language?: string, sensitivity?: integer) — Classify text as human- or AI-written synchronously. By default this returns fixed sandbox mock output, not analysis of the submitted text; set sandbox=false for real analysis, which may consume AI de
- copyleaks_get_ai_text_credit_balance() — Return the connected account's separate AI Text Detector wallet balance.
- copyleaks_get_credit_balance() — Return the connected Copyleaks account's general plagiarism and authenticity scan credit balance.
- copyleaks_get_supported_metadata(language_code?: string, metadata_type: string) — Return one public Copyleaks capability catalog: OCR languages, AI text file types, cross-language options, plagiarism file types, or writing correction definitions.
- copyleaks_moderate_text(text: string, sandbox?: boolean, scan_id: string, language?: string, label_ids?: string[]) — Detect harmful-content labels in text synchronously. By default this returns fixed sandbox mock output, not moderation of the submitted text; set sandbox=false for real moderation, which may consume c

## Example prompts
- "What can I do in Copyleaks?"
- "Show me a summary of my Copyleaks account"

## Links
Docs: https://mcp.ai/docs/mcps/copyleaks
Website: https://mcp.ai/mcps/copyleaks