"Automated Chat Service Based on Personalized Text Messaging Style" matching MCP connectors:
Matching Connector Tools:
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Pay-per-call MCP server. Vetted human experts review AI-generated content (text, images, video, audio, social posts), audit reasoning chains, run prepublish safety checks, and gate high-stakes actions for human approval. 7 paid tools at $1.00 each plus 4 free tools (list_offerings, list_expert_profiles, get_result, verify_certificate). Payment via x402, USDC on Base mainnet. Approved outputs receive an on-chain Taste content certificate downstream agents verify before consuming.
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.
MCP server for e-mail testing: create disposable inboxes, wait for delivery, and extract e-mail content or links - all from your AI agent or test automation workflow. Get a free API key on https://app.zyntra.app/
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Evaluates UI designs for WCAG accessibility issues automated scanners miss. Paid via x402 on Base.
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
AI dev tools + image generation, paid per-use with USDC on Base (x402).
Translation QA: automated checks, AI evaluation, linguistic review, and visual in-context testing.
## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple
Your agent tests pages, copy, and flows on simulated users while you build.
Pluralistic human evaluation infrastructure for AI in production. Query real human reviewer verdicts on commercial AI models - scores, flag breakdowns, and side-by-side comparisons, by our community reviews.
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
MCP server for Mint — AI-powered QA that runs your app in a real browser on every PR.
Create content and test it on a real audience — neuroflash Digital Twins inside Claude & Cursor.
AI QA tester — real browsers scan sites for bugs, SEO, perf, and accessibility issues via chat.
Browser-based QA for AI-built software. Test pages with real browsers via agents.