"Accessing Hevy workout tracking app data" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Health scores for your team's frontend repos: findings, the fixes worth most points, and SBOMs.
Live npm and UNPKG data for AI agents: package resolution, project audits, import maps, and malware/CVE checks. Optional Shield sign-in for domain data.
ASN.1 tools. Validate, compile ASN.1 schema, encode and decode ASN.1 data.
Live npm and UNPKG data for AI agents: resolution, audits, import maps, malware/CVE checks.
Package versions, licences and known vulnerabilities for npm, PyPI, crates, Go, Maven, NuGet
Find what to fix on a public website, for search engines and for AI answers.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
**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
Security scanner for MCP servers and skills: Unicode injection, patterns, secrets.
Pine Script backtest-trap checks, backtest reconciliation and official Korean finance data.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
CodeSentinel — AI-powered codebase health agent
Write, type-check and run AILANG in a sandbox, with Z3-proved contracts and docs search.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Rust crate vulns: CVEs, patched versions. $0.01/query. Be born in one call — free testnet funds.
Check an agent skill before you install it: which of your skills will it clash with?
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.
Scan pasted Stripe webhook/checkout code for common integration bugs.
Repository knowledge graph MCP server for codebase understanding and debugging.
Verify a vuln report's file/line/function claims against a real GitHub repo.
What CSS you can actually ship today, from live Baseline data and MDN browser-compat-data.
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
Independent static verification for exact immutable public GitHub commits.
Governance copilot for AI-assisted coding. 72 packs, 532 rules, proof bundles.
Validated Laravel plugin data - health scores, compatibility and vendor trust
Real-time Python package and vulnerability data for AI coding agents.
Enterprise code intelligence for M&A, security audits, and tech debt. Hosted server with 200k free.
Convert docs to agent-readable specs with criteria and constraints. $0.10/convert.
Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.
Free <50ms Peek-Before-Pay error-to-fix & breaking-change oracle (MCP + x402 Base USDC).
Grade Claude Code, Gemini CLI and Cursor configs for risky permissions; get public config stats.
Refactor legacy code into modern, idiomatic code without changing its behavior.
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
x402 pay-per-call tools for AI agents: code review, data clean, briefs, regex, diff, URL meta.
Checked language for AI-written agent workflows: limits, cost and data flows known before running.
AI supply-chain BOM: agents, MCP servers, packages and recorded reach. Scan and investigate via MCP.
GitHub project health, package dependency risk, trending repos, license & package comparison.
Dev-registry data: npm/PyPI/Docker/VS Code packages, dep graphs, vulns, 50+ ecosystems.
AI-powered intelligence for your development workflow via Indicate.
