"Answer Engine Optimization (AEO) Audit Guide" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
**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
Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.
Audit and repair any public GitHub repo. Free survey; paid source, unified diffs and a pull request.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
Deterministic regex synthesis from labeled examples. Zero LLM, proof matrix, backtracking audit.
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
EVM Slither audit (zero-arg demo + live) + Blockscout source + security.txt lookup + MCP probe.
EVM audit (Slither + source + security.txt + MCP-probe + wallet-exposure). 6 tools + /trace.
- mcpOAuthco.policyforge
Generate, audit, and maintain legal policies that match what your code actually does.
Deterministic AI code review, with an audit record. Governance inside the agent loop.
Audit GitHub repos for malicious and supply-chain code before you depend on them.
Detects catastrophic-backtracking (ReDoS) regex risk via AST parsing, with JS-safe rewrites.
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Four IaC audits in one call: Compose, Dockerfile, GitHub Actions, Kubernetes. 131 checks.
Hadolint-grade Dockerfile audit — 19 checks: secrets, privileges, supply chain, hygiene.
A paid remote MCP for ZeroLang, built to return verdicts, receipts, usage logs, and audit-ready JSON
Paid remote MCP for agent code search routing MCP, structured receipts, audit logs, and reviewer-rea
Remote MCP for A2A dependency inspector MCP, structured receipts, audit logs, and reviewer-ready evi
