originality-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@originality-mcp Scan this article for AI detection and plagiarism"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
originality-mcp
MCP server for Originality.ai — 5 tools covering AI detection, plagiarism checking, fact verification, readability analysis, grammar/spelling, and SEO optimization.
Tools
Tool | Description |
| Run a comprehensive content scan (AI, plagiarism, facts, readability, grammar, SEO) |
| Process multiple content scans in a single request |
| Scan content from a URL instead of raw text |
| Retrieve previously stored scan results by ID |
| Check account credit balance |
Related MCP server: HumanizeMCP
Setup
1. Get an API Key
Get your API key from the Originality.ai API Token Dashboard.
2. Configure your MCP client
Option A: npx (no installation)
{
"mcpServers": {
"originality": {
"command": "npx",
"args": ["originality-mcp"],
"env": {
"ORIGINALITY_API_KEY": "your-api-key"
}
}
}
}Option B: Local install
git clone https://github.com/Eyalm321/originality-mcp.git
cd originality-mcp
npm install
npm run buildThen configure your MCP client:
{
"mcpServers": {
"originality": {
"command": "node",
"args": ["/absolute/path/to/originality-mcp/dist/index.js"],
"env": {
"ORIGINALITY_API_KEY": "your-api-key"
}
}
}
}AI Detection Models
Model | ID | Description |
Lite |
| <1% false positive rate, allows minor AI editing |
Turbo |
| Strictest detection, <5% false positive rate |
Multi-Language |
| Supports 15+ languages |
Lite Beta |
| Latest experimental version |
Academic |
| Designed for teachers and students |
Development
npm install
npm run build
npm testLicense
MIT
Available Tools
5 toolsoriginality_batch_scanA
Process multiple content scans in a single request. Each item uses the same scan options. More efficient than individual scans for bulk content.
Inputs: items (required), check_ai (required), check_plagiarism (required), check_facts (required), +5 more.
originality_get_credit_balanceA
Retrieve the current account credit balance. Use this to check how many credits are available before running scans.
Inputs: no named parameters.
originality_get_scan_resultsA
Retrieve previously stored scan results by scan ID. Only works for scans that had storeScan set to true.
Inputs: scanId (required).
originality_scanA
Run a comprehensive content scan for AI detection, plagiarism, fact checking, readability, grammar/spelling, and SEO optimization. Requires plain text content. Each enabled check consumes credits.
Inputs: title (required), content (required), check_ai (required), check_plagiarism (required), +11 more.
originality_scan_urlA
Scan content from a URL. The API fetches the content from the provided URL and runs the same checks as a regular scan. Useful for analyzing published web pages.
Inputs: url (required), check_ai (required), check_plagiarism (required), check_facts (required), +11 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 5 tools
Each tool has a clear, distinct purpose: scanning text, scanning URLs, batch scanning, retrieving results, and checking credit balance. No ambiguity or overlap.
All tools use a consistent snake_case verb_noun pattern with the 'originality_' prefix. The naming is predictable and uniform.
With 5 tools, the set is well-scoped for an originality scanning service. Each tool serves a necessary function without redundancy or excessive specialization.
The tools cover the essential workflow: checking credits, scanning text/URLs, batch scanning, and retrieving stored results. Minor gaps like listing or deleting scans do not hinder core functionality.
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