"Merchant Data Analysis Creation" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pine Script backtest-trap checks, backtest reconciliation and official Korean finance data.
**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 MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Rust crate vulns: CVEs, patched versions. $0.01/query. Register in-session — free testnet funds.
What CSS you can actually ship today, from live Baseline data and MDN browser-compat-data.
Dev-registry data: npm/PyPI/Docker/VS Code packages, dep graphs, vulns, 50+ ecosystems.
Validated Laravel plugin data - health scores, compatibility and vendor trust
MCP server for static security analysis of Android source code
Real-time Python package and vulnerability data for AI coding agents.
Paid AI utility APIs for semantic web comparison, migration safety, code verification, document extraction, security analysis, monitoring, accessibility auditing, and citation research. Accessible through MCP with x402 payments on Base mainnet.
Checked language for AI-written agent workflows: limits, cost and data flows known before running.
Packagephobia MCP — install-size analysis for npm packages
Bundlephobia MCP — npm bundle-size analysis
AI-powered intelligence for your development workflow via Indicate.
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
Static analysis for Pine Script v6 strategies — catches backtest-vs-live divergence traps.
- EnrichrOAuth unavailabledev.enrichr
Reverse-engineer websites with rendered-DOM, animation, WebGL, source-map, and design-system analysis. Requires an Enrichr API key; authenticate with the X-API-Key header.
Independent security review for AI-built apps: exposed secrets, broken auth, unsafe data access.