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  3. CiteVahti
CiteVahti logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:24:21 PM

CiteVahti

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Checks whether each cited source supports the claim it backs. Blinded human-first, local-first.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "citevahti": {
      "url": "https://raw.githubusercontent.com/heidihelena/citevahti/main/assets/hero-workflow.svg"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

CiteVahti

Does the cited paper actually support the claim? Check every citation in your manuscript β€” before a reviewer does.

CiteVahti workflow: claim, source evidence, human rating first, blinded AI second opinion, agreement or adjudication, and an audited decision β€” with local manuscript, previewed writes, Zotero, undo and a hash-chained record as the supporting rail

CiteVahti walks you through your manuscript one claim at a time. You decide whether each cited source really backs the sentence; an optional AI gives a blinded second opinion (you rate first, it can never overrule you); and every decision is saved as a timestamped, tamper-evident record on your own computer.

The CiteVahti review panel β€” your manuscript on the left, the evidence-and-decision card on the right.

Free while in beta. CiteVahti is local-first: your manuscript stays on your device unless you choose to turn on an external AI model. No account. Nothing uploaded.

What beta means here: the review workflow and your data format are stable, but the tool is young and your feedback still shapes it. The app does not update itself yet β€” when a new version ships you replace it yourself (steps under Updating, below; the panel can check for a newer version, but only if you turn that on). If something is confusing or judged wrong, say so β€” beta reports are how it improves.

Who it's for

Researchers, clinicians, and students who write papers and want to be sure every citation holds up β€” without learning new software or touching a command line. If you can open a file on your computer, you can use CiteVahti.

What it does for you

  • Catches citations that don't support the sentence they're attached to β€” the kind a reviewer or editor will flag.
  • Keeps you in charge. You make every call; the AI is only ever a second opinion, shown after you've decided.
  • Leaves a clean paper trail β€” a timestamped record of what you checked and concluded, ready for a supervisor, co-author, journal, or registry.
  • Builds a reusable evidence map so you don't re-do the same checks next project.
  • Stays private by default β€” everything lives in a folder on your Mac or PC.

Get started in 2 minutes β€” no terminal, ever

On a Mac, use the desktop app. It's a normal app: download it, open it, review.

  1. Download citevahti-<version>-macos-arm64.app.zip from the latest release.
  2. Unzip it and drag CiteVahti.app into your Applications folder, then open it like any other app. (It's signed and notarized β€” it opens with no security warnings.)
  3. Choose a folder to keep your reviews in when it asks.
  4. Drag your manuscript (.docx or .md) onto the window. The panel walks you through the rest, one step at a time β€” there's nothing to memorise.

Want an AI assistant to help pre-screen citations? Whenever you're ready, click the CiteVahti menu-bar icon β†’ Start Agent Server. CiteVahti first explains exactly what an assistant can and cannot do β€” and either way, you rate every claim yourself and make every final call.

Or: use it inside Claude Desktop

If you already work in Claude, install CiteVahti as a one-click extension and drive the review by chatting. (This is also the path on Windows and Linux, where the desktop app isn't available yet.)

  1. Download the extension for your computer from the latest release:
    • macOS (Apple Silicon) β€” citevahti-<version>-macos-arm64.mcpb (signed + notarized)
    • Windows β€” citevahti-<version>-windows-x64.mcpb
    • Linux β€” citevahti-<version>-linux-x64.mcpb
  2. Double-click the downloaded file to add it to Claude Desktop.
  3. Choose a folder for your reviews when asked.
  4. Tell your assistant: "Check the claims in my manuscript using CiteVahti."

First time on macOS you may see a one-time security prompt β€” the extension is a zip, which macOS can't pre-stamp even though the app inside is signed and notarized. If it appears: right-click the file β†’ Open, or go to System Settings β†’ Privacy & Security β†’ "Open Anyway". After that it installs and runs normally.

First time on Windows you may see a SmartScreen warning ("Windows protected your PC") β€” the Windows build is unsigned, so Windows can't check who published it. If it appears: click More info, then Run anyway. After that it installs and runs normally.

Updating β€” your review data is never touched; only the program is replaced
  • Desktop app: quit CiteVahti.app, download the newest citevahti-<version>-macos-arm64.app.zip from the latest release, and replace the old CiteVahti.app in Applications with it. Your reviews live in the project folder you chose, not inside the app, so nothing is lost.
  • Claude Desktop extension: remove the existing CiteVahti extension, fully quit and reopen Claude Desktop, then add the newest .mcpb from the latest release. Ask your assistant to run the status tool to confirm the running version. (macOS Intel: install via pip install "citevahti[mcp]", or run the Apple-Silicon .mcpb under Rosetta.)
  • pip: pip install --no-cache-dir --upgrade "citevahti[mcp]", then pip show citevahti to confirm the version.
For developers & technical readers β€” pip, CLI, architecture, security

Everything below assumes a terminal; none of it is needed to use the app.

Try it on synthetic data (nothing of yours touched β€” builds an invented ledger and opens the panel showing every claim state):

Terminal
pip install "citevahti[mcp]"
citevahti demo

Run the review panel from the terminal:

Terminal
pip install "citevahti[mcp]"
citevahti run

CiteVahti opens the review panel on your machine at 127.0.0.1 and tells you the one next thing to do.

Run the desktop app from source (the same supervised shell as the packaged .app):

Terminal
pip install "citevahti[app]"
citevahti-app

What the app actually runs: CiteVahti.app is a thin shell supervising two local processes β€” the review panel engine (for you) and an optional MCP agent server (for a chat client; it can suggest and stage, but it can never rate for you, see your rating first, or make the final call). Both bind only to 127.0.0.1, write rotating logs (menu-bar icon β†’ Open Logs Folder), exit on their own if the app dies, and shut down cleanly when you quit. The agent server is off until you enable it and can be stopped anytime from the menu bar.

Deeper reading:

  • Architecture Β· CLI reference
  • Safety invariants Β· Security policy
  • Building the desktop app / extension
  • Status & capabilities Β· Dependencies / SBOM

How it works

CiteVahti always tells you the one next thing to do β€” there's no command to remember and nothing to set up.

A "what's next" banner above the manuscript names the next action and takes you to it.

You start by adding your manuscript β€” choose a Word or Markdown file, drag it onto the window, or paste the text. Nothing is uploaded.

Start your review: choose a file, or paste the text instead.

Then you work through each claim on a simple card that walks a visible Rate β†’ Reveal β†’ Decide β†’ Write path, so you always know where you are:

  1. Rate β€” you judge whether the cited paper supports the claim.
  2. Reveal β€” now the optional AI second opinion appears (never before).
  3. Decide β€” accept, caution, review, or reject. The decision is yours.
  4. Write β€” optionally update your manuscript or Zotero, always after a preview.

The review card showing the Rate β†’ Reveal β†’ Decide β†’ Write steps.

A record you can hand to anyone

Every decision is saved to a timestamped, tamper-evident review record β€” a plain-language log of what you reviewed and in what order. Export it as a Word document, a print-ready report, or a review-packet .zip (which even includes an auto-filled methods paragraph with your review's real numbers) for a methods section, a co-author, a supervisor, or a journal.

The Output section: export your review record as a .zip, Word, PDF, or Markdown.

Build an evidence map you can reuse

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about CiteVahti

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "citevahti": { "command": "npx", "args": ["-y", "CiteVahti"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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