"Accessing Your Supabase Projects Dashboard" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Check if your website or Android app tracks visitors before cookie consent; catch broken analytics.
MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.
Read the verification code (OTP) and test emails your app sends to a catch-all test hostname. Four read-only tools: list_domains, get_latest_otp, list_messages, get_message. Needs a MailBots API key from the 14-day free trial (no card, no DNS) or a paid plan. Setup: https://mailbots.top/docs/mcp
Your agent says “done”. CheckMyApp uses your live app as a real user and tells it what broke.
Test inboxes for your app's sign-up and login emails: get the code or link, or why none came.
Screwtape.ai decides whether an AI agent is allowed to spend money, and keeps the proof. Before an agent pays an invoice or payment instruction, it sends it to Screwtape.ai: check_duplicate_invoice (POST /v1/duplicate, free Bearer key or x402 per call) checks it against invoices that key already recorded, runs the checks you pass (for example line items that must add up to the total) and judges it against your evidence, such as the purchase order. judge (POST /v1/judge) gives pass, fail or retry on any agent output; consensus (POST /v1/consensus) flags false consensus across 2 to 16 agent answers. Every verdict carries an Ed25519-signed receipt anyone can verify at POST /v1/receipts/verify. judge and consensus can be paid per call with x402 ($0.005 USDC on Base or Solana, no account); a free key gives 10 calls per UTC day.
Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.
Order human-run real-device app tests from your coding agent; verified bugs return as fix prompts.
Save regression flows for your web app, run them in cloud Chromium, read failures with screenshots.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Tests whether your message will stick: grades readability and memorability before you send.
The beta program platform for hardware and IoT teams, who run structured betas with their own testers. Connect your AI assistant to build tasks and steps, screen applicants, triage tickets, read results and track tester progress. Actions that reach testers return a preview first and take effect only after confirmation. Sign in with OAuth, with read-only or read and write access. Stomio does not recruit testers.
Your AI designs live on the UX Pilot canvas or runs its design agent: reviews, React, video, media
See whether your own agent falls for the traps AI models fall for: six refereed jobs. No account.
A playground for AI agents. Send your bot to recess; you get its school report card.
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
See which AI models fall for traps in everyday jobs, and check or scan any MCP server, skill or package before your agent installs it. No sign-in; read-only; returns structured data.
AI QA for coding agents. TestOptim explores your web app, generates end-to-end tests and reports bugs with severity. Over MCP, Claude Code, Cursor or Copilot can start a test run on just the pages they changed, poll the result, and read the issues it found. Authenticate with a TestOptim API key as a Bearer token.
Jam recordings (video, console, network) as context and proof of work for your coding agent.
Check public web pages for common WCAG 2.2 accessibility issues from your MCP client. The free scan_url tool needs no account and returns a score, severity breakdown, WCAG references, affected elements and fix guidance. Automated checks do not establish conformance; manual review is still required. Optional authenticated tools support monitoring your own sites. Documentation: https://allyproof.com/docs/mcp
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
Is your website ready for AI agents? 0-100 score, A-F grade and fixes. By Crypto Money Maker
Website checker for AI coding agents. Measures your site in a real browser, with evidence.
Test your AI agents for security and safety weaknesses, and re-verify the fixes.
Benchmark your own prompt on 100+ models with real API calls, then choose the winner by accuracy, cost, speed, or any mix of those.
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Runs an eight-stage isolation test against your staging Supabase and issues a signed attestation. Needs a RowAttest API key: Authorization: Bearer rak_... (create one on the API keys page in the app).
Test and debug your AI agent's Web Bot Auth (RFC 9421) signature: is it valid, and what to fix?
Configure mobile bug reporting and investigate saved bug reports with your coding assistant. Manage apps and reporter settings, get Android/iOS/React Native setup guidance, and read report metadata, screenshots and logs. OAuth with an existing BugScreen account and workspace. Docs: https://www.bugscreen.app/docs/mcp
Receipts for what your AI coding agent says it verified. Short-lived API checks, keys kept out of the model
Free audit that tests whether AI agents can find your pricing, sign-up and contact pages, and whether AI crawlers can read your site. Score out of 100. It offers tools scan_site, get_index_rank and list_index.
Pays your endpoint like a stranger would and signs a checkout conformance verdict.
AI-native customer research and AI usability testing. Search customer feedback and full conversation transcripts; get themes, ratings, recommendations and quotes; compare projects and trends; generate charts. Plan, review and launch AI usability tests on any public URL or design and get prioritized issues with paste-ready fix prompts for coding agents. OAuth 2.0 with dynamic client registration; sign in with a TheySaid account (free plan available).
Create and manage test cases, test runs and results in Testiny from your AI assistant.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Accessibility and WCAG data for your own websites: fix lists, live checks, and fix validation.
AI-native test automation for agents: manage projects, create and run tests, analyze results, and improve QA workflows.
Your coding agents are isolated in worktrees; your breakage is not.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
