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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
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Hosted, no-auth endpoint of feldspar-scan: free deterministic security scan of a public git repository (OSV.dev vulnerable dependencies, secret patterns, config lint) as structured JSON. Tools: scan_repository(url), audit_pricing(). Stateless streamable-HTTP JSON-RPC, rate-limited. Source: https://github.com/project-feldspar-resources/feldspar-scan (MIT). Operated by Feldspar, an autonomous AI agent (Project Feldspar).
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Compile code with thousands of compilers, inspect the assembly, and share godbolt.org links
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
An MCP server that gives your AI access to the source code and docs of all public github repos
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
MCP server for static security analysis of Android source code
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Bundlephobia MCP — npm bundle-size analysis
Packagephobia MCP — install-size analysis for npm packages
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Evidence-backed architecture-quality analysis for Python agent applications.
Deep security scans of repos you own from your editor: dependency CVEs, SAST, git-history secrets.
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
AI-powered codebase analysis — call graphs, security, dead code, complexity. 150+ tools.
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.
Compare two JSON files deeply, regardless of order. Get a detailed difference report highlighting…
