"dev.to" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Conformance checker for MCP servers. Free, no key, verdicts recomputable and re-measured daily.
Agent intake desk for property renovation. Read only, CORS open, fail closed, receipts recompute.
Generate, validate and read Factur-X / EN 16931 e-invoices (France, EU): PDF/A-3, CII, UBL 2.1.
Scan, fix and verify DNS: SPF, DMARC, DKIM, propagation, DNS health, expiry. Validated fixes.
**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
Neutral, verification-gated MCP directory of Japan construction contractors (KIRA-audited).
Cite and independently verify Bitcoin-anchored construction-estimate audit records.
UK legal research — case law, legislation, Hansard, bills, votes, committees, HMRC, citations
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Independent pre-transaction audit for construction estimates. Free, and every verdict recomputes.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Ten government-record evidence tools for property, healthcare, facilities, Norway, and routing.
Find your AI agent's likely failure mode, get runtime settings, and clarify ambiguous prompts.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
UK property data — Land Registry comps, EPC, Rightmove, rental yields, stamp duty, Companies House
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
Agent-design pattern guidance via 8 hosted read-only tools; Streamable HTTP, no auth, one Release.
Reach your own phone from an AI agent: notifications, approval questions, reminders, ring, files.
Free, open MCP server for The Urantia Papers. 197 papers, 14,500+ paragraphs, 4,400+ entities.
Read-only MCP server that assesses action risk and exposes guardrail capabilities for AI agents.
