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**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
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
Drupal core API changes, contrib usage, upgrade readiness, patch verdicts, code search, SQL.
Checks AI-written SvGrid code against the real API, plus version-pinned Svelte 5 grid docs.
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Detect malicious or vulnerable npm packages: registry search, OSV.dev and GitHub advisory lookups
Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
295k+ bug-fix patterns with MCP Hub proxy, PII filtering, and code search
Project memory, semantic code search, and grounded agent context.
Enterprise code intelligence for M&A, security audits, and tech debt. Hosted server with 200k free.
Pull up-to-date, version-specific documentation and code examples for any library directly into Cursor, Claude Code, Windsurf, and other AI coding tools.
Behavioral oracle for Rust crate APIs: runtime behavior, yank/advisory, deprecation, sig search
Vulnerability management: scan projects, search sealed packages, manage sealing rules and reports.
Ask a codebase what calls what: search, blast radius, paths between symbols, and diffs.
Software component catalog: search your org's services, docs, APIs, dependencies, and ownership.
Code intelligence for coding agents: semantic, AST, graph, and full-text search. 279+ languages.
npm & PyPI freshness for AI agents: latest version, deprecations, dated breaking-change diffs.
Paid remote MCP for agent code search routing MCP, structured receipts, audit logs, and reviewer-rea
Search the Plainsight playbook and review code against proven best practices.
Alcheon is an MCP server that gives AI coding agents access to a curated library of 100+ analyzed real-world design systems, letting them recommend reference sites, synthesize design briefs with spacing and color tokens, and generate section-level UI guidance — so AI-built interfaces draw from actual design DNA instead of generic defaults.
