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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
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.
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
Repository evidence for agents before they adopt dependencies, enter codebases, compare, or merge.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
An MCP server that gives your AI access to the source code and docs of all public github repos
MCP server providing Pine Script v6 documentation. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
Read-only access to your CodeMouse accounts, repositories, and AI pull-request reviews.
Live PR/MR code reviews via review_url_code. OAuth or portal Bearer auth.
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
AI-native Day 0 modernization platform for PRDs, architecture, work orders, and code transformation.
Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
A paid remote MCP for ZeroLang, built to return verdicts, receipts, usage logs, and audit-ready JSON
Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.
A paid remote MCP for code graph MCP for AI coding, built to return verdicts, receipts, usage logs,
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
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.
