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AEGIS Academic Integrity Checker

by sunilgentyalaversion 3.3.2i★ –iRuns on your computer
Registry nameio.github.sunilgentyala/aegis-integrity

Install

Overview

Description from the maker (original English)

Local-first paper integrity checks: hallucinated citations, AI-text, plagiarism, venue guidelines.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "aegis-integrity": {
      "command": "uvx",
      "args": [
        "aegis-integrity"
      ]
    }
  }
}

Run this in your terminal

claude mcp add aegis-integrity -- uvx aegis-integrity

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "aegis-integrity": {
      "command": "uvx",
      "args": [
        "aegis-integrity"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "aegis-integrity": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "aegis-integrity"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account sunilgentyala, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5668 servers in this category
  • Published to the registry more recently than 62% of the other 5668 servers in this category
  • Basic checks equal to or better than 100% of the other 5668 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AEGIS Academic Integrity Checker safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.3.2) reached the registry 24 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AEGIS Academic Integrity Checker

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.

Highlights

  • Community interest: starred and forked by researchers and developers on GitHub (live counts above) and installed from PyPI.
  • Fourteen detection modules in one offline pipeline: citation hallucination, AI-text detection calibrated for non-native English writers, paraphrase and self-plagiarism, ghostwriting stylometry, essay mill patterns and an experimental LLM watermark test.
  • Tested and scanned: 284 automated tests, CodeQL code scanning, dependency auditing and pinned CI actions on every push.
  • Listed and rated: Grade A on mcprush and on Glama, the MCP directories (each directory's own automated rating).
  • Works where you work: browser app, CLI, REST API, Docker, Claude Code plugin, Claude Desktop (.mcpb) and any MCP client.
  • New in v3.5: three report-interpretation skills (similarity triage, integrity flags, AI writing score interpretation) plus a local prose-uniformity diagnostic. Earlier in v3.4: four source-use skills built from Harvard and Stanford guidance, and AGPL-3.0 licensing with author attribution to Sunil Gentyala.
  • Private by design: documents are analysed on your own machine and never uploaded.

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.

Author, developer, architect and scientist: [Sunil Gentyala](https://github.com/sunilgentyala) (HCLTech, IEEE Senior Member).

AEGIS is licensed under the GNU AGPL-3.0-or-later. Copies and derivatives (including network services) must stay under the AGPL, publish their source, keep the LICENSE and NOTICE files and credit Sunil Gentyala as the original author. Please cite it using CITATION.cff.

3. In Claude Desktop. Install the package as in option 2, download aegis-integrity- .mcpb from the Releases page and open it. In the extension settings, choose the Python where AEGIS is installed. Any other MCP client can run the aegis-mcp command directly.

Not sure what works on your machine? Run aegis doctor. It lists every capability, whether it's ready, and the one command that fixes it. aegis doctor --warm-up downloads the AI models ahead of time so your first full check doesn't wait on them.


MCP Tools

aegis-mcp exposes seven tools to Claude Code, Claude Desktop and any MCP client.

Listed and claimed by the maintainer on Glama and mcprush. See what each listing status means.

ToolWhat it doesExample prompt
aegis_analyze_paperFull integrity pipeline on a PDF/DOCX/TEX/TXT/MD"Run a full integrity check on ~/drafts/paper.pdf"
aegis_check_citationsVerify references against Crossref (finds hallucinated DOIs)"Check the references in paper.docx"
aegis_check_guidelinesOffline style pass vs IEEE, ACM, BCS, IET, ISACA, Elsevier"Is this ready for an Elsevier journal?"
aegis_compare_papersOverlap between two papers (conference vs journal version)"Compare v1.docx and v2.docx"
aegis_index_addAdd a paper to your local comparison corpus"Add Smith2025.pdf to my corpus"
aegis_index_summaryList the corpus"What is in my AEGIS corpus?"
aegis_statusWhich checks are ready and how to fix the rest"Is AEGIS set up correctly?"

Security

AEGIS is local-first and the MCP server runs over stdio. Documents never leave your machine; only reference metadata goes to Crossref/OpenAlex.

  • MCP tools read only .pdf, .docx, .tex, .txt and .md files up to 50 MB (AEGIS_MAX_FILE_MB).
  • Set AEGIS_ALLOWED_ROOTS to confine every tool to specific folders (recommended when an agent drives AEGIS).
  • Tool output is stripped of control characters and truncated; tools carry read-only / non-destructive MCP hints.
  • DOIs from documents are percent-encoded and fetched without redirects. The MCP server never loads ./.env.
  • CI runs tests, bandit, a blocking pip-audit, and CodeQL; Dependabot is on.

Report vulnerabilities privately: see SECURITY.md.


Support the project

If AEGIS helped you, a star on GitHub helps other researchers find it. Bug reports, sample papers that break it and pull requests are worth more: see the open issues labelled good first issue.


How AEGIS Compares

Every major integrity tool has blind spots. AEGIS v3.5 aims to close fourteen of them simultaneously.

Based on each vendor's public documentation and pricing pages as of August 2026. "Not public" means the capability isn't documented publicly by that vendor -- not a confirmed absence. Corrections welcome.

GapAEGIS v3.5TurnitiniThenticateCopyLeaksGPTZeroOriginality.ai
Open-source / self-hostableYesNoNoNoNoNo
Citation hallucination detectionYesNot publicNot publicNot publicNot publicNot public
IEEE/ACM/Elsevier/IET/IETE/BCS -scoped venue-claim + duplicate-title checkYes (metadata-only via Crossref, free)Yes (full-text, paid Similarity Check membership)Yes (full-text, paid Similarity Check membership)Not publicNot publicNot public
LLM watermark token-distribution heuristic (experimental, keyless)YesNot publicNot publicNot publicNot publicNot public
Citation network analysis (cartels, predatory)YesNot publicNot publicNot publicNot publicNot public
ESL / non-native bias calibration (15 languages)Partial (experimental)Not publicNot publicNot publicNot publicNot public
Paragraph-level AI scoringYesNot publicNot publicYesYesPartial
Semantic / paraphrase plagiarism (SBERT)YesPartialNot publicPartialNot publicNot public
Stylometric ghostwriting detection (Burrows' Delta)YesNot publicNot publicNot publicNot publicNot public
Self-plagiarism against open corpusYesNot publicPaidNot publicNot publicNot public
Batch classroom / essay mill detectionYesNot publicNot publicNot publicNot publicNot public

| Semantic coherence AI-polish detection | Yes | Not publ

Only the beginning is shown; read the rest in the repo

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