GPTZero MCP. Validate originality and detect AI content.
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GPTZero analyzes text for AI generation, providing deep technical metrics like perplexity and burstiness scores with high confidence. This MCP detects if content came from a language model or was written by a human, highlighting exactly which passages might be synthetic.
What your AI agents can do
Check api health
Verifies that the connection to GPTZero is working correctly and ready for analysis.
Detect ai in text
Analyzes provided text to determine its likelihood of being generated by a language model.
Get api quotas
Checks and reports your remaining API credits and usage limits for the billing cycle.
Runs a block of text against proprietary models and returns a confidence score showing the probability that an AI wrote it.
Retrieves perplexity and burstiness scores, which measure how predictable or varied the language structure is.
Confirms your remaining character credits and document scan quotas for uninterrupted operation.
Accesses the interpretation guide to explain what low perplexity or high burstiness scores actually mean for content integrity.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
GPTZero: 8 Detection Tools Available
These tools allow your agent to perform comprehensive checks, from analyzing text for artificial content to managing API usage and retrieving detailed technical guides.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using GPTZero on Vinkius019dd0fdcheck api health
Verifies that the connection to GPTZero is working correctly and ready for analysis.
019dd0fddetect ai in text
Analyzes provided text to determine its likelihood of being generated by a language model.
019dd0fdget api quotas
Checks and reports your remaining API credits and usage limits for the billing cycle.
019dd0fdget current user
Retrieves basic details about the user authenticated to run the analysis.
019dd0fdget interpretation guide
Pulls up a guide that explains what specific scores like perplexity mean in practice.
019dd0fdget usage policy
Provides the current API usage rules and rate limit policies for the service.
019dd0fdlist available models
Lists all supported model versions that can be used for detection jobs.
019dd0fdsubmit prediction feedback
Allows you to send feedback on a previous detection result, helping improve future accuracy.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with GPTZero, then connect any of our 4,900+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,900+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GPTZero. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
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Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Constant Grind of Manual Content Vetting
Think about the sheer amount of time spent today. You copy a chunk of text from a student's essay into Detector A. It gives you one score, but no context. Then you move it to Detector B for another angle. You end up jumping between tabs and wrestling with vague warnings, never getting a unified, technical understanding of the content's true origin.
With this MCP, that process vanishes. Your agent handles the entire workflow automatically. Instead of multiple copy-paste steps, your client calls detect_ai_in_text once and gets back detailed metrics—like perplexity and burstiness—all in one clean response.
GPTZero: Confidence Scoring Built Into Your Workflow
Before, you'd have to stop everything and look up what a 'perplexity score' even meant. You’d waste time trying to interpret vague qualitative results that lacked hard numbers.
Now, the get_interpretation_guide makes sense of it for you. The agent pulls up the exact technical breakdown right when you need it. It gives you quantifiable data points instead of guesswork.
What you can do with this MCP connector
Content authenticity used to be a painful manual process. You'd copy chunks of text into various web detectors, hoping they gave you clear answers—and usually getting vague warnings instead. This MCP changes that. Your agent takes the raw text and runs it through advanced detection protocols, giving you hard data on its origin.
It doesn't just say 'AI generated'; it tells you how likely it is by calculating structural metrics like perplexity and burstiness.
Through this single connection, your AI client acts as a dedicated content auditor for everything from student papers to marketing copy. Need to check quotas or understand the results? You can monitor usage limits and pull up an interpretation guide programmatically. Connecting through Vinkius means you get full control over your entire content vetting workflow right inside your existing tools.
019dd0fd-b068-72b5-a1f6-bec22fbb0aa7 
How GPTZero MCP Works
- 1 Subscribe to this MCP and grab your API Key from the GPTZero Dashboard.
- 2 Connect your AI client through Vinkius, then tell it which text you want analyzed.
- 3 The agent runs the content through its detectors and returns a detailed score card showing authenticity metrics.
The bottom line is that you get automated, quantifiable proof of text origin without ever leaving your main development environment.
Who Is GPTZero MCP For?
This MCP is essential for anyone who writes or reviews content and needs to guarantee originality. If you deal with academic submissions, legal documents, or high-stakes marketing copy, this gives you the guardrails. It targets roles tired of manual cross-checking.
Runs student assignments through detection to maintain integrity and identify potential sources of unauthorized content.
Checks drafts of technical documentation or blog posts for human voice, ensuring the copy sounds original and not machine-written before publishing.
Automates the scanning of regulatory reports or legal disclosures to ensure no automated content violates authenticity policies.
What Changes When You Connect
- You instantly verify student submissions using the detect_ai_in_text tool, maintaining academic integrity without leaving your grading dashboard. The confidence score gives you actionable proof of authorship.
- The get_api_quotas tool keeps you in control by showing exactly how many credits you have left, so detection operations never fail mid-scan because of an unknown limit hit.
- When you don't know what a perplexity score means, the get_interpretation_guide pulls up clear explanations. This knowledge helps you explain complex content metrics to stakeholders accurately.
- The system automatically monitors your connection health using check_api_health, letting you know instantly if there's an issue before your agent tries and fails on a massive batch of documents.
- You can improve the tool itself by calling submit_prediction_feedback. This sends your real-world validation data back to GPTZero, making future detections more accurate for everyone.
Real-World Use Cases
An academic needs to grade a class of papers.
Instead of reading every paper manually and guessing if it's human or AI-written, the proctor uses detect_ai_in_text on all submissions. The agent returns a confidence score for each one, allowing them to focus their attention only on suspect texts.
A marketing team is drafting client copy.
The editor runs the first draft through detect_ai_in_text right inside their workspace. The high perplexity and burstiness scores confirm the text has enough unique human variation, ensuring it sounds authentic.
A compliance team needs to audit a new policy document.
The officer uses detect_ai_in_text on sensitive legal texts. If the score is too high, they know the document must be manually reviewed and edited by a human expert before filing.
The Tradeoffs
Copy-pasting to web detectors
Manually taking text blocks out of your workflow and pasting them into various online tools. This is slow, prone to copy errors, and doesn't give you a centralized record.
→ Use detect_ai_in_text directly through your agent. It analyzes the content in place, providing metrics like perplexity and burstiness alongside the confidence score.
Ignoring API limits
Running a massive detection batch without knowing your quotas, leading to an unexpected failure when you hit zero credits.
→ Always call get_api_quotas first. This tool confirms your available character credits and document scans before you start any large operation.
Misinterpreting scores
Seeing a low perplexity score and assuming the text is bad, without knowing why. You might wrongly reject good human writing.
→ Use get_interpretation_guide to understand what each metric means. It helps you correctly differentiate between genuine AI patterns and highly structured human writing.
When It Fits, When It Doesn't
You should use this MCP if your primary job involves validating content originality, especially for academic or regulatory purposes. If the core question is 'Did a person write this?'—this is your tool. Don't use it if you just need to check file formats; those are handled by generic data connectors. Also, don't rely on it as a single source of truth for plagiarism. This MCP detects AI generation, not copying from other people. If you only need simple API status checks and nothing else, using dedicated health monitoring tools is fine—but if detection is central to your process, this MCP gives you everything you need: analysis, metrics, and usage oversight.
Common Questions About GPTZero MCP
How does GPTZero use detect_ai_in_text? Does it just give a yes/no answer? +
No, it provides a confidence score and specific metrics. It doesn't just say 'Yes' or 'No'; it gives you the probability (e.g., 98%) and supporting data like perplexity and burstiness to back up its claim.
What should I check if my detection runs suddenly fail? +
You should run check_api_health first. This tool verifies the connection is live. If that passes, then use get_api_quotas to confirm you haven't exceeded your character limits.
Is there a way to track my usage with GPTZero? I need to know my credits. +
Yes. Call get_api_quotas anytime. This tool is designed to report your remaining API credits and how many document scans you have left for the billing period.
After using detect_ai_in_text, can I submit feedback to improve accuracy? +
Absolutely. Use submit_prediction_feedback to send GPTZero your own judgment on a result. This helps train and make the detection model better for future users.
How do I verify my account details using get_current_user? +
It retrieves your profile information instantly. This tool confirms the authenticated user associated with the API key, which is useful for auditing and billing purposes. It tells you exactly whose quota is being consumed.
What models can I use for detection, and how do I see them with list_available_models? +
It provides a complete list of all supported model versions available right now. This lets you choose the best balance between speed and accuracy for your specific content analysis needs. You don't have to guess what models work.
How do I understand the rate limits for my API calls using get_usage_policy? +
It delivers the official documentation on usage rates and billing rules. This is key for managing large-scale detection jobs, so you know exactly how many requests you can make per minute or hour without getting throttled.
If I get a confusing score, how do I interpret the metrics using get_interpretation_guide? +
It pulls up an explanatory guide that breaks down complex concepts like perplexity and burstiness. This helps you translate technical scores into actionable insights about whether content is human-written or AI-generated.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.