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Match PhD applicants with relevant professors using ranked, sourced research-fit results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Professor Fit MCP" yet — see the docs or source repo.
I am applying for PhD programs in computer vision. Based on my interests in 3D reconstruction, generative models, and medical image analysis, find matching professors and return a ranked table with confidence scores, representative papers, and source links.
A ranked table of professors including names, institutions, fit rationale, confidence scores, representative work, and sources.
Compare potential PhD advisors against my proposal on multimodal large models in education. Generate a ranked table and explain each professor’s relevant themes, recent paper evidence, and scoring basis.
A comparative ranking showing overlap areas, supporting sources, and the reasoning behind each score.
I want to apply to HCI PhD programs in the US and Europe. Based on my interests in explainable AI, user research, and health tech, recommend the best-matching professors and provide a prioritized outreach list with sources and confidence.
A prioritized advisor shortlist for applications, with fit ranking, evidence links, and confidence notes.
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Search academic papers, author profiles, and publication details via OpenAlex.
Search papers, parse full-text PDFs, extract details, and manage citations.
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