"A list of all remote servers" matching MCP connectors:

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.

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

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).

Score any URL against a real design contract — 40 checks, A-F grade, token + motion validation.

MCP tool observatory: do registry servers answer, and are their answers true? No key.

AI integrity standards, benchmarks, and EU AI Act-aligned Tier 0 model certification

Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.

Exposes FEDLIN's public security scanners as agent-callable tools over Streamable HTTP.

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.

Accessibility pre-checks (WCAG/BFSG) in a real browser + statement drafts. Pay per call.

Find MCP servers and check whether they actually respond, via live handshake probes.

Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.

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

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.

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.

A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.