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Tactual

Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.

What it does

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?

It works by capturing Playwright accessibility snapshots, building a navigation graph, and scoring each target under an assistive-technology profile.

Install

# For CLI usage
npm install tactual playwright

# For MCP server usage (AI tools)
npm install tactual playwright @modelcontextprotocol/sdk

Playwright and @modelcontextprotocol/sdk are optional peer dependencies. Playwright is required for CLI and page analysis. The MCP SDK is required to run the tactual-mcp server. Neither is needed if you only use the library API with pre-captured states.

Quick start

CLI

# Analyze a URL (default profile: generic-mobile-web-sr-v0)
tactual analyze-url https://example.com

# Analyze with a specific AT profile
tactual analyze-url https://example.com --profile voiceover-ios-v0

# Explore hidden UI (menus, tabs, dialogs, disclosures)
tactual analyze-url https://example.com --explore

# Output as JSON, Markdown, or SARIF
tactual analyze-url https://example.com --format json --output report.json
tactual analyze-url https://example.com --format sarif --output report.sarif

# Compare two analysis runs
tactual diff baseline.json candidate.json

# List available AT profiles
tactual profiles

# Run benchmark suite
tactual benchmark

# Initialize a tactual.json config file
tactual init

Library API

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);
}

MCP Server

Tactual includes an MCP server for AI agent consumption:

# Start the MCP server (stdio transport — default)
tactual-mcp

# Start with HTTP transport (for hosted platforms, remote clients)
tactual-mcp --http              # listens on http://127.0.0.1:8787/mcp
tactual-mcp --http --port=3000  # custom port (or set PORT env var)
tactual-mcp --http --host=0.0.0.0  # bind to all interfaces (default: 127.0.0.1)

MCP tools available:

Tool

Description

analyze_url

Analyze a web page for SR navigation cost. Default format is sarif. Supports waitForSelector, waitTime, minSeverity, focus, excludeSelector, exclude, maxFindings, summaryOnly, timeout, storageState params. Findings include Playwright locator selectors. Pass probe: true for keyboard probes. Pass includeStates: true to get captured states for offline trace_path.

trace_path

Trace the step-by-step navigation path to a specific target. Shows each action, cost, and modeled SR announcement. Accepts target ID or glob pattern (e.g., *search*). Pass statesJson from a prior analyze_url to skip browser launch. Supports storageState for authenticated pages.

list_profiles

List available AT profiles

diff_results

Compare two analysis results. Shows penalties resolved/added, severity changes, and status per target.

suggest_remediations

Ranked fix suggestions by impact. Redundant for SARIF output (fixes are inline).

save_auth

Authenticate with a web app and save session state. Pass the output file path as storageState to other tools for analyzing authenticated content.

analyze_pages

Analyze multiple pages in one call with site-level aggregation. Returns ~200 bytes per page. Use for site triage before diving into individual pages.

Setup by AI tool

First install the required packages in your project:

npm install tactual playwright @modelcontextprotocol/sdk

Claude Code — add to .mcp.json in your project root:

{
  "mcpServers": {
    "tactual": {
      "type": "stdio",
      "command": "npx",
      "args": ["tactual-mcp"]
    }
  }
}

GitHub Copilot — add to .copilot/mcp.json or ~/.copilot/mcp-config.json:

{
  "mcpServers": {
    "tactual": {
      "type": "stdio",
      "command": "npx",
      "args": ["tactual-mcp"]
    }
  }
}

Cursor / Windsurf / Cline — same format in your editor's MCP config:

{
  "mcpServers": {
    "tactual": {
      "command": "npx",
      "args": ["tactual-mcp"]
    }
  }
}

Direct (global install) — if you prefer not to use npx:

npm install -g tactual playwright
tactual-mcp  # starts the MCP server on stdio

GitHub Actions

Use the composite action from the GitHub Actions Marketplace:

jobs:
  a11y:
    runs-on: ubuntu-latest
    steps:
      - name: Analyze accessibility
        uses: tactual-dev/tactual@v0.2.1
        with:
          url: https://your-app.com
          explore: "true"
          fail-below: "70"

The action installs Tactual and Playwright, runs the analysis, uploads SARIF to GitHub Code Scanning, and fails the build if the average score is below the threshold. Outputs average-score and result-file for downstream steps.

Or use the CLI directly for more control:

- name: Install Tactual
  run: npm install tactual playwright

- name: Install browsers
  run: npx playwright install chromium --with-deps

- name: Run accessibility analysis
  run: npx tactual analyze-url https://your-app.com --format sarif --output results.sarif --threshold 70

- name: Upload SARIF
  uses: github/codeql-action/upload-sarif@v3
  with:
    sarif_file: results.sarif

Configuration

CLI flags

Options:
  -p, --profile <id>              AT profile (default: generic-mobile-web-sr-v0)
  -f, --format <format>           json | markdown | console | sarif (default: console)
  -o, --output <path>             Write to file instead of stdout
  -d, --device <name>             Playwright device emulation
  -e, --explore                   Explore hidden branches
  --explore-depth <n>             Max exploration depth (default: 3)
  --explore-budget <n>            Max exploration actions (default: 50)
  --explore-max-targets <n>       Max accumulated targets before stopping (default: 2000)
  --exclude <patterns...>         Exclude targets by name/role glob
  --exclude-selector <css...>     Exclude elements by CSS selector
  --focus <landmarks...>          Only analyze within these landmarks
  --suppress <codes...>           Suppress diagnostic codes
  --top <n>                       Show only worst N findings
  --min-severity <level>          Minimum severity to report
  --threshold <n>                 Exit non-zero if avg score < N
  --config <path>                 Path to tactual.json
  --no-headless                   Headed browser (for bot-blocked sites)
  --timeout <ms>                  Page load timeout (default: 30000)
  --probe                         Run keyboard probes (focus, activation, Escape, Tab)
  --wait-for-selector <css>       Wait for selector before capturing (for SPAs)
  --wait-time <ms>                Additional wait after page load
  --storage-state <path>          Playwright storageState JSON for authenticated pages
  --summary-only                  Return only summary stats, no individual findings
  -q, --quiet                     Suppress info diagnostics

tactual.json

Create with tactual init or manually:

{
  "profile": "voiceover-ios-v0",
  "exclude": ["easter*", "admin*", "debug*"],
  "excludeSelectors": ["#easter-egg", ".admin-only", ".third-party-widget"],
  "focus": ["main"],
  "suppress": ["possible-cookie-wall"],
  "threshold": 70,
  "priority": {
    "checkout*": "critical",
    "footer*": "low",
    "analytics*": "ignore"
  }
}

Config is auto-detected from the working directory (tactual.json or .tactualrc.json). CLI flags merge with and override config settings.

AT Profiles

Profile

Platform

Description

generic-mobile-web-sr-v0

Mobile

Normalized mobile SR primitives (default)

voiceover-ios-v0

Mobile

VoiceOver on iOS Safari — rotor-based navigation

talkback-android-v0

Mobile

TalkBack on Android Chrome — reading controls

nvda-desktop-v0

Desktop

NVDA on Windows — browse mode quick keys

jaws-desktop-v0

Desktop

JAWS on Windows — virtual cursor with auto forms mode

Profiles define the cost of each navigation action, score dimension weights, costSensitivity (scales the reachability decay curve), and context-dependent modifiers. See src/profiles/ for implementation details.

Scoring

Each target receives a 5-dimension score vector:

Dimension

What it measures

Discoverability

Can the user tell the target exists?

Reachability

What is the navigation cost to get there?

Operability

Does the control behave predictably?

Recovery

How hard is it to recover from overshooting?

Interop Risk

How likely is AT/browser support variance? (penalty)

Dimension weights vary by profile:

Profile

D

R

O

Rec

costSensitivity

generic-mobile-web-sr-v0

0.30

0.40

0.20

0.10

1.0

voiceover-ios-v0

0.30

0.35

0.20

0.15

1.1

talkback-android-v0

0.25

0.45

0.20

0.10

1.3

nvda-desktop-v0

0.35

0.25

0.30

0.10

0.7

jaws-desktop-v0

0.30

0.25

0.35

0.10

0.6

Composite: Weighted geometric mean: overall = exp(sum(w_i * ln(score_i)) / sum(w_i)) - interopRisk. Each dimension is floored at 1 before the log to avoid log(0). This means a zero in any dimension drags the overall score down sharply -- you cannot operate what you cannot reach.

Severity bands:

Score

Band

Meaning

90-100

Strong

Low concern

75-89

Acceptable

Improvable

60-74

Moderate

Should be triaged

40-59

High

Likely meaningful friction

0-39

Severe

Likely blocking

Diagnostics

Tactual detects and reports when analysis may be unreliable:

Code

Level

Meaning

blocked-by-bot-protection

error

Cloudflare/bot challenge detected

empty-page

error

No targets found at all

possibly-degraded-content

warning

Suspiciously few targets for an http page

sparse-content

warning

Only 1-4 targets found

possible-login-wall

warning

Auth-gated content (detects /login, /signin, /auth path redirects)

possible-cookie-wall

info

Cookie consent may obscure content

redirect-detected

warning

Landed on different domain

no-headings

warning

No heading elements found

no-landmarks

warning

No landmark regions found

Exploration

The --explore flag activates bounded branch exploration:

  • Opens menus, tabs, disclosures, accordions, and dialogs

  • Captures new accessibility states from hidden UI

  • Marks discovered targets as requiresBranchOpen

  • Respects depth, action count, target count, and novelty budgets

  • Safe-action policy blocks destructive interactions

Exploration is useful for pages with significant hidden UI (e.g., dropdown menus, tabbed interfaces, modal dialogs).

Exploration candidates are sorted by a stable key (role + name) before iterating, so the same page content produces the same exploration order across runs.

Exploration budgets

Budget

CLI flag

Default

Purpose

Depth

--explore-depth

3

Max recursion depth

Actions

--explore-budget

50

Total click budget across all branches

Targets

--explore-max-targets

2000

Stop if accumulated targets exceed this

Time

(library only)

120s

Global wall-clock timeout

SPA framework detection

Tactual detects when SPA content has rendered before capturing the accessibility tree. Detected frameworks: React, Next.js, Vue, Nuxt, Angular, Svelte, and SvelteKit. Generic HTML5 content signals (landmarks, headings, navigation, links) are also checked. For SPAs not covered by auto-detection, use --wait-for-selector (CLI) or waitForSelector (MCP/API) to specify a CSS selector that indicates your app has hydrated.

After initial framework detection, Tactual uses convergence-based polling — repeatedly snapshotting the accessibility tree until the target count stabilizes — which works regardless of framework.

Interop Risk

Tactual includes a static snapshot of ARIA role/attribute support data derived from a11ysupport.io and the ARIA-AT project. Roles with known cross-AT/browser support gaps receive an interop risk penalty.

Role

Risk

Note

button, link, heading

0

Well-supported

dialog

5

Focus management varies

combobox

8

Most interop-problematic pattern

tree

10

Poorly supported outside JAWS

application

15

Dangerous if misused

Output Format Recommendations

Format

Typical size

Best for

console

~8KB

Human review in terminal

markdown

~11KB

PRs and issue comments

json

~18KB

Programmatic consumption

sarif

~4-40KB

GitHub Code Scanning / CI

All non-SARIF formats emit summarized output: stats, grouped issues, and worst findings (capped at 15). SARIF caps at 25 results. When output is truncated, a note appears at the top.

For MCP usage, sarif is the default and recommended format. Use summaryOnly: true for a minimal health check (~835 bytes: stats, severity counts, top 3 issues).

Calibration

Tactual includes a calibration framework (src/calibration/, exported as tactual/calibration) for tuning scoring parameters against ground-truth datasets. See docs/CALIBRATION.md for details.

Development

npm install                    # Install dependencies
npm run build                  # Build with tsup
npm run test                   # Run unit + integration tests
npm run test:benchmark         # Run benchmark suite
npm run typecheck              # TypeScript type checking
npm run lint                   # ESLint

Security

Browser sandboxing

Tactual always runs Playwright with default Chromium sandboxing enabled. It never disables web security or modifies the browser's security model. All page interactions happen within the standard Chromium process sandbox.

Safe-action policy

When exploration is enabled (--explore), Tactual classifies interactive elements into three tiers before activating them:

Tier

Action

Examples

Safe

Activated

Tabs, menu items, disclosures, accordions, same-page anchors

Caution

Activated with care

External links, ambiguous buttons, submit buttons

Unsafe

Skipped

Delete, sign out, purchase, deploy, unsubscribe

This is a keyword-based heuristic — it cannot detect semantic deception (e.g., a "Save" button that actually deletes data) or inspect server-side behavior. For production use, always run exploration against trusted or sandboxed environments.

URL validation

All URLs are validated before navigation. Private/internal IP ranges and non-HTTP(S) schemes are rejected by default.

License

Apache-2.0

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - A tier

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