Winston AI MCP. Prove content integrity, instantly.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Winston AI is a full-spectrum content integrity validator. It checks text for plagiarism against the web, measures authorship likelihood to detect AI generation, and verifies facts in articles or documents.
This MCP gives you total visibility into whether any digital content—from student essays to news reports—is original, truthful, or synthetic.
What your AI agents can do
Check plagiarism file
Checks a document file provided by URL for instances of plagiarism.
Check plagiarism text
Analyzes pasted text to find sections that match existing online content.
Check plagiarism url
Scans an entire website URL to determine its overall similarity score and potential for plagiarism.
Run detect_ai_text or detect_ai_file to determine the likelihood that content was generated by a person versus an AI model.
Use check_plagiarism_text, check_plagiarism_url, or check_plagiarism_file to scan content and identify sources of copied material.
Run fact verification tools against text, URLs, or files to check specific statements for accuracy using trusted external data.
Determine if an uploaded image is synthetic or manipulated by running detect_ai_image via its URL.
Perform detailed similarity analysis between two pieces of text using text_compare to spot paraphrasing and subtle changes.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
Winston AI: 11 Content Validation Tools
This suite lets you analyze text, files, images, and URLs to determine if content is original, human-written, or factually accurate.
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 Winston AI on Vinkius019dd188check plagiarism file
Checks a document file provided by URL for instances of plagiarism.
019dd188check plagiarism text
Analyzes pasted text to find sections that match existing online content.
019dd188check plagiarism url
Scans an entire website URL to determine its overall similarity score and potential for plagiarism.
019dd188detect ai file
Detects if a document file, accessed via URL, contains content likely generated by AI models.
019dd188detect ai image
Determines the likelihood of an image being AI-generated or manipulated using its URL.
019dd188detect ai text
Analyzes a string of text to calculate a score indicating how likely it is that a human wrote it, rather than an AI.
019dd188detect ai url
Scans a website URL to check if the content found there has been generated by artificial intelligence.
019dd188fact checker
Verifies specific claims within a block of text against established online knowledge.
019dd188fact checker file
Checks factual accuracy across an entire document file using its URL for verification.
019dd188fact checker url
Compares statements on a live webpage URL to trusted sources to confirm accuracy.
019dd188text compare
Compares two separate blocks of text and provides a percentage score showing how similar the language is.
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 Winston AI, 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
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Winston AI. 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.
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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 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Manually auditing content integrity is tedious work.
Think about it: A new article lands on your desk. You have to copy-paste chunks of text into a plagiarism checker, then open another tab to verify every single statistic with Google, and finally run an AI detector just to see if the language feels too polished—it's hours of clicking through multiple dashboards.
With this MCP, you hand the content off to your agent. It automatically runs all necessary checks: it verifies facts using `fact_checker` and simultaneously scans for plagiarism using `check_plagiarism_text`. You get one consolidated report that tells you everything about the piece's origin.
The Winston AI MCP gives you full control over authorship.
You no longer have to rely on gut feeling when reviewing submissions. You can run `detect_ai_file` on an entire document and get a clear, quantifiable score for how human-written it is, giving you objective data to base your decisions on.
It changes the game from suspicion to proof. You don't just *feel* like something is fake; you know exactly why by running `detect_ai_image` or `detect_ai_url` and getting a synthetic score.
What you can do with this MCP connector
Stop guessing if a piece of writing is real. Winston AI lets your agent validate the source, originality, and factual accuracy of any text, image, or document. Whether you're reviewing student submissions or vetting breaking news, this MCP provides concrete evidence about content integrity.
Need to know if an article was written by a human or an LLM? Run detect_ai_text on the string directly, or upload a file for deep analysis with detect_ai_file. Is that claim actually true? Use the fact-checking tools to verify specific claims against trusted online sources. Did someone lift this entire section from another source? Check it with check_plagiarism_url, and you'll get a detailed similarity score.
This suite handles everything: plagiarism, AI authorship, deepfakes, and factual errors.
The power comes when you chain these checks together. You can connect your agent through Vinkius, and the platform's native token optimization cuts down on API costs while giving you full visibility into every step using Vinkius AI Analytics. Your workflow gets traceable, verifiable, and accurate.
019dd188-9a2b-7236-ac1f-4ba0d062f487 How Winston AI MCP Works
- 1 First, connect your agent to the Winston AI MCP via any MCP-compatible client.
- 2 Next, provide the specific data you need analyzed (e.g., paste text into the prompt or supply a URL).
- 3 The tool returns scores and reports, telling you if content is plagiarized, how likely it is that an AI wrote it, or if facts are supported by online sources.
The bottom line is you get a single source of truth about the reliability and origin of any digital content.
Who Is Winston AI MCP For?
This MCP is for academic reviewers, professional editors, newsroom fact-checkers, and corporate compliance officers. If your job involves trusting what people write or publish online, you need this suite.
Runs detect_ai_file on student submissions to ensure academic honesty, then uses check_plagiarism_text to confirm originality.
Uses fact_checker_url immediately after publishing a piece to verify every claim against live web sources before it goes out.
Checks all incoming articles using check_plagiarism_file and runs image analysis with detect_ai_image to prevent deepfake content from hitting the site.
What Changes When You Connect
- Know if an essay passed through a bot. Use
detect_ai_textto calculate the Human Score on any text string and verify authorship. - Stop accidental copyright infringement. Run
check_plagiarism_fileagainst large academic documents before submission deadlines. - Verify claims in real-time. Send a URL to
fact_checker_urland get instant confirmation on whether the article's stated facts hold up to scrutiny. - Catch deepfakes immediately. Upload an image or provide a link, and
detect_ai_imagetells you if it was synthesized by AI. - Spot paraphrasing efforts. Use
text_comparewhen reviewing drafts to see exactly how much two pieces of writing overlap in structure and phrasing.
Real-World Use Cases
Reviewing student theses for academic fraud
A professor needs to check a stack of papers. Instead of manually checking each one, they use check_plagiarism_file on all submissions at once and run detect_ai_file on the most suspicious ones. They get a clear report showing both originality gaps and potential AI authorship.
Fact-checking breaking news stories
A journalist receives an article about local policy changes. They use fact_checker_url to verify every single date, name, and statistic in the piece against reliable government websites before publishing. This prevents retractions and saves credibility.
Auditing client-submitted reports
A corporate compliance officer receives a 50-page report from an external contractor. They run check_plagiarism_file to ensure the content isn't sourced elsewhere, and they use detect_ai_text on key executive summaries to flag potentially synthetic language.
Vetting social media images
A marketing team receives a viral image claiming something suspicious. They run detect_ai_image on the URL immediately; if it returns a high Synthetic Score, they know the content should be flagged as fake before anyone sees it.
The Tradeoffs
Assuming plagiarism is all you need to check
A publisher runs check_plagiarism_url on an article and gets a low score, assuming the content is clean. They miss that key claims are factually incorrect.
→
Always run both originality checks (like check_plagiarism_url) AND factual verification (fact_checker_url). A low plagiarism score doesn't mean high accuracy.
Treating AI detection as a simple pass/fail
A student gets an 'AI detected' warning and assumes the paper is worthless, stopping them from submitting it for review.
→
Understand that detect_ai_text provides a score. Use this data point in conjunction with other tools like text_compare. It’s one piece of evidence, not the final word.
Copy-pasting text into multiple checkers
A user has to go to three different services—one for plagiarism, one for AI detection, and another for facts—and copy/paste the same content three times.
→
Use this MCP suite. You can run detect_ai_text on a string AND use fact_checker on the same text in sequence within your agent flow.
When It Fits, When It Doesn't
Use Winston AI if your goal is comprehensive assurance—you need to know if content is original, if it's true, and who wrote it. Don't use this suite if you only care about one thing; for instance, if your only concern is simple text comparison, text_compare might suffice on its own. But remember, the real value comes from combining them: running check_plagiarism_url, then feeding that content into fact_checker_url, and finally passing the result to detect_ai_url. If you only need a single data point (like just checking for plagiarism), an isolated tool might work, but this MCP gives you the full picture every time.
Common Questions About Winston AI MCP
Is there a minimum text length for AI detection? +
Yes, Winston AI typically requires at least 300 characters for an accurate assessment of whether the text is human or AI-generated.
Can I check if an image from a URL was created by AI? +
Absolutely. Use the detect_ai_image tool and provide the public image URL. The AI will analyze it for signs of generation or manipulation.
How reliable is the fact-checking tool? +
The tool cross-references claims against trusted online databases and sources to provide a verification score and identifying supporting evidence.
When I use detect_ai_text, how do I interpret the Human Score? +
The score is a probability rating of human authorship. A high percentage means the text's patterns strongly align with typical human writing; conversely, low scores suggest significant AI influence.
Can check_plagiarism_url handle restricted or paywalled websites? +
The tool checks publicly accessible content only. If a site requires login credentials or is behind a paywall, the crawler won't be able to access it for comparison.
What file types can detect_ai_file process for AI detection? +
It supports common document formats like PDF and DOCX. Always ensure your uploaded file is in a standard, readable format; obscure or locked files won't work.
Does fact_checker verify claims against one database or multiple online sources? +
It verifies claims using broad web indexing and trusted online data sources. This gives you cross-referenced context, making the results highly reliable for journalistic use.
Are there rate limits when I run text_compare on large batches of documents? +
While we recommend batch processing through your agent client, API usage is subject to standard rate limits. You should monitor your usage dashboard for real-time quota information.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.