AEGIS Academic Integrity Checker

Name: AEGIS Academic Integrity Checker
Author: sunilgentyala

作者：sunilgentyala版本 3.3.2i★ –i在你的电脑上运行

注册名称io.github.sunilgentyala/aegis-integrity

安装

概览

作者提供的说明（英文原文）

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 sunilgentyala 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5670 个服务器的 0%
发布到注册中心的时间比此分类中其他 5670 个服务器的 62% 更新
基础检查结果等于或优于此分类中其他 5670 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

AEGIS Academic Integrity Checker 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（3.3.2）于24天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

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

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

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

在云端运行★ 5,213MIT2个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.

Tool	What it does	Example prompt
`aegis_analyze_paper`	Full integrity pipeline on a PDF/DOCX/TEX/TXT/MD	"Run a full integrity check on ~/drafts/paper.pdf"
`aegis_check_citations`	Verify references against Crossref (finds hallucinated DOIs)	"Check the references in paper.docx"
`aegis_check_guidelines`	Offline style pass vs IEEE, ACM, BCS, IET, ISACA, Elsevier	"Is this ready for an Elsevier journal?"
`aegis_compare_papers`	Overlap between two papers (conference vs journal version)	"Compare v1.docx and v2.docx"
`aegis_index_add`	Add a paper to your local comparison corpus	"Add Smith2025.pdf to my corpus"
`aegis_index_summary`	List the corpus	"What is in my AEGIS corpus?"
`aegis_status`	Which 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.

Gap	AEGIS v3.5	Turnitin	iThenticate	CopyLeaks	GPTZero	Originality.ai
Open-source / self-hostable	Yes	No	No	No	No	No
Citation hallucination detection	Yes	Not public	Not public	Not public	Not public	Not public
IEEE/ACM/Elsevier/IET/IETE/BCS -scoped venue-claim + duplicate-title check	Yes (metadata-only via Crossref, free)	Yes (full-text, paid Similarity Check membership)	Yes (full-text, paid Similarity Check membership)	Not public	Not public	Not public
LLM watermark token-distribution heuristic (experimental, keyless)	Yes	Not public	Not public	Not public	Not public	Not public
Citation network analysis (cartels, predatory)	Yes	Not public	Not public	Not public	Not public	Not public
ESL / non-native bias calibration (15 languages)	Partial (experimental)	Not public	Not public	Not public	Not public	Not public
Paragraph-level AI scoring	Yes	Not public	Not public	Yes	Yes	Partial
Semantic / paraphrase plagiarism (SBERT)	Yes	Partial	Not public	Partial	Not public	Not public
Stylometric ghostwriting detection (Burrows' Delta)	Yes	Not public	Not public	Not public	Not public	Not public
Self-plagiarism against open corpus	Yes	Not public	Paid	Not public	Not public	Not public
Batch classroom / essay mill detection	Yes	Not public	Not public	Not public	Not public	Not public

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

只显示了开头部分；其余内容请在仓库中阅读

AEGIS Academic Integrity Checker

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

AEGIS Academic Integrity Checker

Highlights

Get Started

MCP Tools

Security

Support the project

How AEGIS Compares