"Scroll modules for reading web page content" matching MCP connectors:

Generate synthetic random user data for testing, demos, and development without using real persona.

Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.

Drive real Android & iOS devices and web browsers from natural language for mobile + web QA. 145+ tools across device control, app management, automation sessions, browser automation, and flow recording / replay. Bearer-auth — get a token at robotactions.com → Profile → API Tokens.

Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).

Verify scraped data against the live source page. Signed verdicts, $0.01 via x402.

Deterministic motion compiler + validator: reports WCAG 2.2.2 pause-path candidates, fail-closed.

X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.59

A webhook inbox for agents: one call returns a live URL. Mock, verify, inspect and replay.

Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.

Creative-intelligence MCP for campaign strategy, ad builds, QA, and reporting.

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

Hire a real human for real-world verification, product testing, AI output review, and errands.

Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.

Generate deterministic placeholder image URLs and packs for docs, staging, testing, and AI agents.

Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

Scan URLs for WCAG 2.1 violations, generate AI fixes, and produce VPAT 2.5 compliance reports.

MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.

Adversarial behavioural-bias engine — audits your decisions for cognitive biases via your own AI.