"Accessing Your Supabase Projects Dashboard" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Health scores for your team's frontend repos: findings, the fixes worth most points, and SBOMs.
Your Vericto workspace over OAuth: setup status, rules, CI reports, docs search and SQL checks.
Hosted MCP server: which CVEs affect your dependency versions, and which version fixes each
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
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
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
Checks AI-written code for leaked keys and made-up packages, on your machine. Never uploads code.
Security checks for Next.js + Supabase apps: code scan, read-only live DB check, fix confirmation.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Reduce your AI bills by up to 99% locally: focused code, warm prompt caches & zero secret leaks.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Enforces architectural invariants and code quality rules inside your AI agent's edit loop.
Check an agent skill before you install it: which of your skills will it clash with?
Find retiring AI models and outdated API SDKs in your code, with dates, replacements and guides.
MCP server for YAML: validate & lint, convert between 10 formats, visualize as diagrams, and create/edit your saved diagrams — from your AI editor.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
OSS libs in your stack, really used: source, tests, callers. C#, Java, TS, Python, Rust, PHP+.
An MCP server that gives your AI access to the source code and docs of all public github repos
The official e18e MCP server keeping your agent in check from installing bloated dependencies.
What changed in the packages, APIs and services your code depends on, and the fixes it needs.
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
Read-only access to your CodeMouse accounts, repositories, and AI pull-request reviews.
Scores your code across 12 areas, with findings, fix prompts, and re-assessment in your AI agent
Vulnerability management: scan projects, search sealed packages, manage sealing rules and reports.
Ask how your codebase works. Hosted codebase intelligence for repos indexed on repowise.dev.
Shared context for your codebase: a hosted code knowledge graph over MCP. Free plan, OAuth sign-up.
AI-powered intelligence for your development workflow via Indicate.
Your coding agent scans your pushed code, reads what's worth fixing, fixes it, and rescans.
C4 architecture model of your system, built from code by your AI and read back as focused context.
Breaking changes of third-party APIs: check your code's API calls before they break.
Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
Search your team's Storybook components by text or image, so agents reuse what exists.
Scan websites and code for security, performance and SEO issues from your AI assistant.
Audit your MCP servers for poisoned tools and leaked secrets, and check AI-generated code for flaws.
Generate, audit, and maintain legal policies that match what your code actually does.
Tell your assistant you're about to launch. It checks the app your builder synced to GitHub, tells you what would break for real users, hands you the fix, and re-checks after the sync. Point it at any public repo first (nothing to install, nothing to grant) and see exactly what comes back before you connect the one that matters.
