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AEGIS Academic Integrity Checker MCP server

by sunilgentyala·io.github.sunilgentyala/aegis-integrity·v3.3.2·17 stars
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Local-first paper integrity checks: hallucinated citations, AI-text, plagiarism, venue guidelines.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

17 stars222 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

AEGIS Academic Integrity Checker tools (7, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • aegis_analyze_paperwrite action

    Run the full AEGIS integrity check on a paper (PDF/DOCX/TEX/TXT).

  • aegis_check_citations

    Verify a paper's references against Crossref (citations module only).

  • aegis_check_guidelines

    Fast offline style pass: equations, grammar and per-publisher guidelines.

  • aegis_compare_papers

    Compare two papers directly for overlap or self-plagiarism.

  • aegis_index_add

    Add a paper to the local comparison corpus for future plagiarism checks.

  • aegis_index_summary

    List the papers in the local AEGIS comparison corpus.

  • aegis_status

    Show which AEGIS checks are ready, which are missing, and how to fix them.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

1 medium
  • Code scan34 source files scanned20/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumeval / new Function usedexec.eval
    aegis_integrity-3.3.2/aegis/detectors/ai_detector.py: …lf.device) self._base_model.eval() if self.use_cross_ppl: …
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AEGIS Academic Integrity Checker compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
Tools
7
the typical server has 7
Tools that change things
14%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
17
more than 90% of 28,688 servers
Downloads a week
222
more than 77% of 12,191 servers with a package

What its tools let an agent do: 6 read · 1 change

Install AEGIS Academic Integrity Checker in Claude Code, Cursor or VS Code

claude mcp add aegis-integrity -- uvx aegis-integrity
Add to Cursor

What the publisher says

From the AEGIS Academic Integrity Checker repository's README, as published. We do not edit it. Read it on GitHub

AEGIS Academic Integrity Checker

<!-- mcp-name: io.github.sunilgentyala/aegis-integrity -->

Real CLI output on a synthetic sample paper (docs/demo/sample_paper.txt). Both DOIs in it are invented, and AEGIS flags them.

Open-source, offline, bias-aware academic integrity analysis.

Documents are processed entirely on your own hardware and never uploaded anywhere. Citation checks may query Crossref/OpenAlex with reference metadata (titles, authors, DOIs) when online verification is enabled.

Analyzes plagiarism, AI-generated content, citation hallucinations, ghostwriting, predatory references, and essay mill patterns in a single pipeline -- plus an experimental token-distribution heuristic for LLM watermark research.

Plagiarism detection is corpus-based, not a live web/database crawl: AEGIS compares your document against a corpus of papers you supply (your own prior works, a downloaded reference set, etc. -- see Building a Corpus Index). With no corpus loaded, plagiarism modules correctly report "no prior works loaded" rather than silently finding nothing to flag -- that isn't a scan failure.

Results are a supporting signal for human review, not a determination of misconduct.

Get Started

Pick the way you want to use AEGIS. All three run on your own computer.

1. In your browser (easiest). Install once, then open the web app:

pip install "aegis-integrity[ml]"
aegis ui

Drag in a PDF, Word, LaTeX or text file, choose Full check, Private / offline, References only or Style & formatting, and get a plain-language report: an overall rating, what to look at, every reference with its verification result, and a downloadable full report. A Compare two papers tab and a My comparison library tab cover self-plagiarism and building the corpus. On Windows, install.bat sets everything up and start-aegis.bat opens the web app with a double-click.

2. Inside Claude Code. Install the package with the mcp extra, then add the plugin:

pip install "aegis-integrity[mcp,ml]"
/plugin marketplace add sunilgentyala/aegis-integrity
/plugin install aegis-integrity@aegis-integrity

Then ask in plain words ("check references in ~/drafts/paper.pdf", "is this ready for an Elsevier journal?"), or use the /integrity-check and /submission-check skills.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

AEGIS Academic Integrity Checker: common questions

Is AEGIS Academic Integrity Checker MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the AEGIS Academic Integrity Checker safety report
How do I install AEGIS Academic Integrity Checker?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does AEGIS Academic Integrity Checker need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AEGIS Academic Integrity Checker maintained?
The last commit was 21 days ago (2026-10-14). The latest release is v3.3.2.
What can I use instead of AEGIS Academic Integrity Checker?
Servers from other publishers that do the same job: MCP for Adobe Premiere Pro MCP server.
How does AEGIS Academic Integrity Checker compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); tools 7 (the typical server has 7); tools that change things 14% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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