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  1. Home
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  3. Vahtian
Vahtian logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:24:25 PM

Vahtian

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

Freeze a corpus, check it for drift, keep a hash-chained audit ledger. Local-first, stdlib-only.

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": {
    "vahtian": {
      "url": "https://zenodo.org/badge/DOI/10.5281/zenodo.21339127.svg)](https://doi.org/10.5281/zenodo.21339127"
    }
  }
}

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

vahtian

DOI

Company site for Vahtian β€” research citation integrity.

Vahtian checks whether each manuscript claim is supported by the evidence cited for it β€” through a blinded human β†’ AI β†’ adjudication workflow with a decision-gated, undoable write and a hash-chained audit trail.

Vahtian does not decide scientific truth. It records whether a cited source supports a specific claim: who rated it, what the AI advised, how disagreements were adjudicated, and what was finally written.

Human-first. AI-second. Auditable. Free local tools for researchers; infrastructure for journals, guideline groups, and research organizations.

The Vahtian tool family: Start (CiteVahti β€” check your own manuscript), Prepare (StudyVahti, MethodVahti, DictVahti, MatchVahti-Lite β€” get the study right first) and Scale (ReviewVahti, ExtractVahti, GuidelineVahti, AtlasVahti β€” systematic-review infrastructure), all standing on one evidence record: human rates first, blinded AI second, adjudicated, hash-chained, provenance or flag. Records whether a cited source supports a specific claim β€” never scientific truth.

The product ladder

Start β€” check the claims in your own manuscript

  • CiteVahti β€” check that each claim is supported by the source cited for it (free beta): https://github.com/heidihelena/citevahti

Prepare β€” get the study and its evidence right before analysis

  • StudyVahti β€” plan a defensible study before data collection (free Β· live): /studyvahti
  • MethodVahti β€” justify your sample size β†’ COREQ/SRQR methods PDF (free beta for individuals, project licence for institutions): /methodvahti
  • DictVahti β€” clean the REDCap data dictionary before analysis (free Β· live): /dictvahti
  • MatchVahti-Lite β€” capture citation-worthy evidence from abstracts (free Β· live): /matchvahti-lite

Scale β€” systematic-review infrastructure

  • ReviewVahti β€” inter-rater reliability for screening (Cohen's ΞΊ / Krippendorff's Ξ±) (live): /reviewvahti
  • ExtractVahti β€” DTA data extraction + risk-of-bias (QUADAS-2/-C, PROBAST-AI) β†’ tidy CSV + RoB traffic-light SVG for R; multi-extractor reconcile (ΞΊ / Ξ±); sealed agent aid (early access): /extractvahti
  • GuidelineVahti β€” panel consensus, RAND/UCLA + GRADE (early access): /guidelinevahti
  • AtlasVahti β€” de-identified validation-pattern analytics (roadmap)

Static pages (one index.html per product, plus 404.html and sitemap.xml), deployed via Cloudflare to vahtian.com. No trackers, no external dependencies.

vahti (Finnish) = sentinel / guard β€” the watch over what gets cited.

Brand & social tooling

  • brand/STYLE.md β€” the canonical brand spec; brand/PHILOSOPHY.md β€” the mark system.
  • brand/cards/ β€” 1200Γ—630 Open Graph cards, one per page. Regenerate with npm i @resvg/resvg-js && node brand/cards/generate.mjs.
  • Screenshot-led product covers are generated from their real interface previews with node brand/cards/generate-product-covers.mjs (uses the bundled preview browser).
  • brand/carousel/ β€” self-contained LinkedIn carousel builder (noindex, zero external requests). Preset decks per product, theme & format switching, post-caption drafts, deck save/load as JSON, export as PDF (LinkedIn document post) or per-slide PNGs.

MethodVahti package

methodvahti/ is a self-contained Python package (Apache-2.0) for qualitative heterogeneity scoring + a COREQ/SRQR methods-report PDF. See methodvahti/README.md. Tests: cd methodvahti && python -m pytest tests/ -v.

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

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Vahtian

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

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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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