Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Screen-reader navigation cost analyzer. Scores AT user effort to find, reach, and operate content.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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": {
"tactual": {
"command": "npx",
"args": [
"-y",
"tactual"
]
}
}
}Run this in your terminal
claude mcp add tactual -- npx -y tactualPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tactual": {
"command": "npx",
"args": [
"-y",
"tactual"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"tactual": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tactual"
]
}
}
}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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account tactual-dev, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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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).
The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Draugr
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Screen-reader navigation cost analyzer. Measures how many keystrokes a screen-reader user needs to discover, reach, and operate every interactive target on your page — under a specific AT profile (NVDA, JAWS, VoiceOver).
Existing accessibility tools check conformance — is the ARIA correct? Is the contrast ratio sufficient?
Tactual measures navigation cost — how many actions does it take a screen-reader user to reach the checkout button? What happens if they overshoot? Can they even discover it exists? Does the menu actually open on Enter, or only on click? Does focus land on the first menuitem or stay stuck on the trigger?
How it works:
@guidepup/virtual-screen-reader for calibrationTactual is a developer tool for analyzing your own sites and staging environments. Run it locally, in CI, or via the MCP server in your editor. It is not a public scanning service.
Tactual complements conformance scanners such as axe-core, Lighthouse, and Pa11y. Those tools are still the right first pass for broad WCAG and ARIA rule coverage. Tactual is aimed at the next question: after a page has valid markup, how expensive is it for an AT user to discover, reach, and operate the important targets?
Use Tactual for screen-reader navigation-cost triage, path tracing, measured keyboard/widget evidence, before/after diffs, CI prioritization, and MCP workflows where an agent needs compact findings with source selectors and remediation candidates. Use real screen readers and manual testing for final validation of critical journeys, timing-sensitive flows, browser/AT settings, and implementation patterns that intentionally differ from a common APG example.
Agent quick path: this README is a product overview plus reference. Agents should start with docs/AGENT-RECIPES.md for task patterns and docs/MCP-TOOLS.md for full MCP schemas, then come back here only for product context, install notes, and release-surface examples.
Requires Node.js 20 or later.
npm install tactual
Tactual installs Playwright as a runtime dependency so one-off npx tactual@latest ... commands work without separately installing Playwright into the npx cache. The MCP SDK also ships as a runtime dependency, so tactual-mcp works from an installed tactual package without a separate SDK install.
# Analyze a URL (default profile: generic-mobile-web-sr-v0)
npx tactual analyze-url https://example.com
npx tactual analyze-url https://example.com --profile voiceover-ios-v0
npx tactual analyze-url https://example.com --explore
npx tactual analyze-url https://shop.com --preset ecommerce-checkout npx tactual analyze-url https://docs.example.com --preset docs-site
npx tactual analyze-url https://example.com --format json --output report.json npx tactual analyze-url https://example.com --format sarif --output report.sarif
npx tactual diff-results baseline.json candidate.json npx tactual diff-results baseline.json candidate.json --format json
npx tactual transcript https://example.com npx tactual transcript https://example.com --at voiceover
npx tactual profiles npx tactual presets
npx tactual benchmark npx tactual benchmark --suite all
Benchmark fixtures ship with the npm package, so the benchmark command works from a fresh install and does not require cloning the repository fixtures into your current directory.
npx tactual validate-url https://example.com --max-targets 10 --strategy semantic
npx tactual init
npx tactual analyze-url https://www.npmjs.com/ --stealth --channel chrome
npx tactual analyze-url https://docs.example.com --probe --explore --probe-mode deep
npx tactual analyze-url https://app.example.com/settings \ --probe \ --entry-selector "[aria-controls='profile-dialog']" \ --probe-strategy modal-return-focus
npx tactual analyze-url https://example.com --validate --validate-max-targets 10
Console output includes a compacted path line for each finding showing how a screen-reader user reaches it:
██████░░ 70 link:reference structural
D:47 R:71 O:100 Rec:100 getByRole('link', { name: 'Reference' }) ↪ Tab ×2 "v19.2" → K "Learn" → Tab "Reference" → Target is not efficiently reachable via heading or landmark navigation
Where Tab = nextItem, H = nextHeading, ; = nextLandmark, K = nextLink, B = nextButton, Enter = activate. Consecutive same-action steps collapse (Tab ×2).
For accessibility work in a local app or preview environment, Tactual supplies evidence for small, reviewable changes:
selector, penalties, suggestedFixes, and evidence summaries on each findingissueGroups and remediation candidates in summarized outputanalyze_pages.site.repeatedNavigation for repeated navigation cost across routesdiff-results / diff_results for before-and-after verificationStart with broad triage, then deepen one route before changing code:
# Site-level triage. Redirect JSON for tool consumption.
npx tactual analyze-pages \ https://app.example.com/ \ https://app.example.com/docs \ https://app.example.com/settings \ --profile nvda-desktop-v0 \ --format json > tactual-site.json
npx tactual analyze-url https://app.example.com/docs \ --profile nvda-desktop-v0 \ --explore --probe --probe-mode standard \ --format markdown --output tactual-report.md
npx tactual analyze-url https://app.example.com/docs \ --profile nvda-desktop-v0 \ --probe \ --entry-selector "[aria-controls='search-panel']" \ --probe-selector "#search-panel" \ --probe-strategy composite-widget \ --format markdown --output tactual-search-panel.md
npx tactual analyze-url https://app.example.com/docs --explore --probe --format json --output baseline.json
npx tactual analyze-url https://app.example.com/docs --explore --probe --format json --output candidate.json npx tactual diff-results baseline.json candidate.json
Use the candidate section as a starting point for repeated root causes such as a shared component, navigation pattern, or widget contract. Confirm the source component and include the route, command, finding evidence, user impact, code change, and verification in whatever issue or PR format the project expects. Score movement is useful supporting evidence, but the change should lead with the accessibility behavior that changed.
MCP clients can consume the same compact output and keep the review loop grounded in routes, selectors, evidence, source changes, and before/after verification.
import { analyze, getProfile } from "tactual";
import { captureState } from "tactual/playwright"; import { chromium } from "playwright";
const browser = await chromium.launch(); const page = await browser.newPage(); await page.goto("https://example.com");
const state = await captureState(page); await browser.close();
const profile = getProfile("generic-mobile-web-sr-v0"); const result = analyze([state], profile);
for (const finding of result.findings) { console.log(finding.targetId, finding.scores.overall, finding.severity); }
Screen-reader announcement simulator — predict what NVDA, JAWS, or VoiceOver would announce for every target, with state info (checked, expanded, selected, modal, value, required, invalid, etc.):
import {
simulateScreenReader, buildAnnouncement, buildMultiATAnnouncement, buildTranscript, } from "tactual/playwright";
const report = await simulateScreenReader(page, state.targets);
for (const a of report.formFields) { console.log(a.announcement); // → "Subscribe, check box, checked" // → "Country, combo box, collapsed" // → "Email, edit, invalid entry, required, you must use a work address" }
// Compare across screen readers const tx = state.targets[5]; buildAnnouncement(tx, "nvda"); // → "Country, combo box, collapsed" buildAnnouncement(tx, "voiceover"); // → "Country, popup button"
// All three at once buildMultiATAnnouncement(tx); // → { nvda: "...", jaws: "...", voiceover: "..." }
// Linear navigation transcript — what an SR user hears Tabbing through const transcript = buildTranscript(state.targets, "nvda"); // → [{ step: 1, kind: "landmark", announcement: "Main, main landmark" }, ...]
// Multi-target navigation modes (linear, by-heading, by-landmark, by-form-control) import { buildNavigationTranscript } from "tactual/playwright";
// Heading-only navigation (NVDA: H key) const headings = buildNavigationTranscript(state.targets, { mode: "by-heading" });
// Navigate from one element to another const path = buildNavigationTranscript(state.targets, { from: "link:before-main", to: "heading:welcome", mode: "linear", });
// Demoted landmarks (in DOM but stripped by HTML rules, e.g. in ) for (const d of report.demotedLandmarks) { console.warn(d.demotionReason); }
Validation and calibration APIs — compare model output against virtual-SR validation runs or human-observation datasets:
import { validateFindingsInJsdom } from "tactual/validation";
import { runCalibration, formatCalibrationReport } from "tactual/calibration";
// Given a JSDOM instance, PageState, AnalysisResult, and calibration dataset: const validation = await validateFindingsInJsdom(dom, state, result.findings, { maxTargets: 10, strategy: "semantic", });
const calibration = runCalibration(dataset, new Map([[state.url, result]])); console.log(validation, formatCalibrationReport(calibration));
Or from the CLI:
npx tactual transcript https://example.com --at voiceover
npx tactual calibration-report my-calibration.json --analysis example-nvda.json
The simulator is heuristic prediction, not real screen-reader output. The simulator itself is fast (pure JavaScript over captured targets — sub-second once targets are in memory), but a full analyze-url run includes browser launch + page capture + scoring and takes seconds on small pages, longer with --probe (~30s+) and --explore (~1–5 min on complex SPAs). Analysis runs in a headless browser by default, so nothing pops up while you work. (Use --no-headless or --channel chrome --stealth for visible/bot-protected sites.)
Data quality. Calibrated against token-l
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