"Designing UI (User Interfaces)" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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.
Read your Usero feedback inbox and clusters, file feedback, build forms, and open an AI PR.
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
**Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness
Measured share of answer for 24 crypto and Web3 brands. An open dataset, not an audit of your site.
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.
Browser support for web features, live from caniuse. From which version, and is it safe to ship?
31Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Pay-per-call agent superpowers: media/video gen, product demos, research, GTM, scraping, compute.
UK legal research — case law, legislation, Hansard, bills, votes, committees, HMRC, citations
England taxi/private-hire PHV licensing: official-source blockers, stale sources, compare councils.
Map-first global classifieds marketplace — search and post listings across jobs, real estate, vehicles, and services, on behalf of a signed-in user.
Find and validate SaaS ideas from real user complaints, scored for commercial intent.
Free, keyless. CRE loan maturities in 52 states. Parcels, ownership, sales: Massachusetts only.
Discovery, OAuth, project operations, and exact project MCP handoff for Spala backend projects.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Audit TikTok Shop & Amazon affiliate scripts for policy violations via MCP.
Validate startup ideas with real people asking for them, each quote linked to its source.
DXF and PDF/X-4 for AI agents: structured facts, PNG renders, an interactive in-chat viewer.
UK property data — Land Registry comps, EPC, Rightmove, rental yields, stamp duty, Companies House
