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Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
**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
Known vulnerabilities for exact package versions from OSV, with fixes. Paid per call, x402.
MCP server for YAML: validate & lint, convert between 10 formats, visualize as diagrams, and create/edit your saved diagrams — from your AI editor.
AI product expert answering from live source code, with sources and a verification status.
Score the privilege a Chrome MV3 extension takes from its manifest, and diff permission sets.
What CSS you can actually ship today, from live Baseline data and MDN browser-compat-data.
Deterministic regex synthesis from labeled examples. Zero LLM, proof matrix, backtracking audit.
Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.
The official e18e MCP server keeping your agent in check from installing bloated dependencies.
Generate wiki docs from source code. Supports PowerShell, Python, Go, C#, Java, COBOL.
Generate TIA Portal importable SimaticML (V19) from LadDoc IR, with strict validation, over MCP.
Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs
Scan a GitHub repository for vulnerabilities, with proof for every finding, from your coding agent.
- HypAwareOAuth via extensionai.hypaware
Query your team's AI coding history and act on HypAware recommendations from any MCP client.
- featuryOAuthapp.featury
Ask what your product does, triage requests and publish the changelog, from a map of your code.
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.
- MegaLensOAuthai.megalens
Code review by AI models from different companies, usually two. Shows where they agree and disagree.
Stack intelligence from real production Rails apps. Compare gems, scan a Gemfile. No API key.
MCP server for understanding Javascript internals from ECMAScript specification.