Verifiable AI research assistant with zero hallucinations
A major academic publisher launched an AI research assistant for university students that cites authoritative journal articles with 100% accuracy and proper academic attribution. MCPner.com's text connector and citation engine eliminated hallucinations while creating a new revenue stream for publisher content.
The Problem
Students were using ChatGPT for research but getting hallucinated citations and fabricated quotes, creating academic integrity crises. The publisher's content was being scraped into generic AI models without attribution or compensation. Universities needed verifiable, trustworthy AI that maintained citation standards.
How MCPFlow Solved It
The publisher deployed an MCP server connected directly to their authenticated journal database. When students query the AI assistant (via Claude for Education), the agent fetches content exclusively from the publisher's verified library. Every response includes proper citations with DOI links, page numbers, and publication dates. The publisher tracks usage via API metrics, monetizing access while enforcing academic standards.
MCP Stack Used:
Measurable Outcomes
Research time decreased 40% while citation accuracy reached 100% on indexed content—zero hallucinations reported. Universities adopted the tool campus-wide, trusting the verifiable source chain. The publisher established a sustainable AI business model, earning API revenue while maintaining control over their intellectual property.
Key Metrics:
We finally have an AI tool we can recommend to students without worrying about fabricated sources. It's transformed how they interact with our research.
Dr. Emily Tran
Dean of Libraries, State University
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