Vahtian

io.github.heidihelenaPublished by GitHub account heidihelenav0.2.0Updated Oct 24, 2026

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

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Overview

AI-generated overview

A local-first tool for freezing a research corpus, detecting drift, and keeping a hash-chained audit ledger of citation checks.

What you can do
Vahtian supports research citation integrity by freezing a corpus, checking it for drift, and maintaining a hash-chained audit ledger. Its described workflow records whether a cited source supports a specific claim through a blinded human, AI, and adjudication process with a decision-gated, undoable write. It is described as local-first and stdlib-only, and it does not decide scientific truth.
When to use it
Use it when you need an auditable record of whether manuscript claims are supported by their cited sources, or when you want to freeze a corpus and detect later changes. It is aimed at researchers and groups that need traceable citation checks rather than automated truth judgments.
Requirements
Runs as a local process on the user's machine via the PyPI package vahtian over stdio. No authentication, environment variables, or headers are declared. Desktop only; no web executable.
Before you install
The README describes a decision-gated, undoable write and a hash-chained audit trail, so review what gets written and how the ledger is stored. It explicitly states it does not decide scientific truth; treat its output as a record of ratings and adjudication, not as a truth verdict.

Installation

In SourceWeft

  1. Open Vahtian in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

vahtian

[DOI]

Company site for Vahtian — research citation integrity.

Vahtian checks whether each manuscript claim is supported by the evidence cited for it — through a blinded human → AI → 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 — check your own manuscript), Prepare (StudyVahti, MethodVahti, DictVahti, MatchVahti-Lite — get the study right first) and Scale (ReviewVahti, ExtractVahti, GuidelineVahti, AtlasVahti — 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 — never scientific truth.]

The product ladder

Start — check the claims in your own manuscript

Prepare — get the study and its evidence right before analysis

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

Scale — systematic-review infrastructure

  • ReviewVahti — inter-rater reliability for screening (Cohen's κ / Krippendorff's α) (live): /reviewvahti
  • ExtractVahti — DTA data extraction + risk-of-bias (QUADAS-2/-C, PROBAST-AI) → tidy CSV + RoB traffic-light SVG for R; multi-extractor reconcile (κ / α); sealed agent aid (early access): /extractvahti
  • GuidelineVahti — panel consensus, RAND/UCLA + GRADE (early access): /guidelinevahti
  • AtlasVahti — 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 — the watch over what gets cited.

Brand & social tooling

  • brand/STYLE.md — the canonical brand spec; brand/PHILOSOPHY.md — the mark system.
  • brand/cards/ — 1200×630 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/ — 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.

Source: README.md at commit c917626

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.2.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

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  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts