"How to deploy my app on Vercel" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Audits any live MCP server URL or GitHub repo on Glama's 6-dimension TDQS rubric and compiles dro.
Vet an agent skill before you install it: structure, triggers, secrets.
**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
Hosted, OAuth-gated endpoint for quantakrypto's post-quantum crypto tools: scan code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and get NIST ML-KEM/ML-DSA/SLH-DSA migration guidance over authenticated HTTP — nothing to install. Sign-in required (Google/GitHub/email). Same tools as the open-source @quantakrypto/mcp server; source at github.com/quantakrypto/pqc-tools.
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.
Security scanner for MCP servers and skills: Unicode injection, patterns, secrets.
CodeSentinel — AI-powered codebase health agent
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
Pre-flight verdict on MCP servers: known-bad identity, CVEs, dependency tree, tool drift. Signed.
Scan GitHub-hosted AI skills for vulnerabilities: prompt injection, malware, OWASP LLM Top 10.
Refactor legacy code into modern, idiomatic code without changing its behavior.
Grade Claude Code, Gemini CLI and Cursor configs for risky permissions; get public config stats.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
x402 pay-per-call tools for AI agents: code review, data clean, briefs, regex, diff, URL meta.
Audit a website for technical and on-page SEO problems.
Ask Void anything: answers with sources, plus code review, moon phases and meteor showers.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
Read Codecov coverage reports, commits, pulls, flags and components.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
