"Information about WhatsApp Business API" 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.
HefestoAI checks AI-generated code before you ship it.
Verify AI-generated code before you commit: independent reviewers check it. PR review too.
Enables AI coding tools to load design guidelines, tokens, components, templates, and migration mappings before writing UI, then validates generated snippets locally and returns fixes so the tools can correct themselves before the code is shown.
Health scores for your team's frontend repos: findings, the fixes worth most points, and SBOMs.
Find hardcoded UI text, give it translation keys, translate it and write the locale files.
30+ deterministic dev and delivery tools: linting, metrics, diagrams, model advice, AI-text checks.
Hosted MCP server: which CVEs affect your dependency versions, and which version fixes each
Thermal label MCP server: render, validate, debug and convert ZPL, EPL, TSPL and CPCL labels.
Ultra-low latency edge MCP server and token optimizer. Reduces LLM context costs by 60-99% via AST code skeletons, homogeneous JSON pruning, and stream healing.
Ask Verse anything with sources, plus code review, translation and more paid per call over x402.
Headron Mind: hosted verification planning and proof for AI coding agents, over MCP and API.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
Commit-pace and release probabilities for open-source repositories. Docs: anteproof.com/docs
Production-safety audits for AI-generated code, with a fix for every finding.
**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.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
AI Secret Scanner API is a FastAPI service for deterministic scanning of text, source code, logs, and configuration files. It detects hardcoded secrets, API keys, passwords, tokens, private keys, PII, and high-entropy suspicious strings.
Scan GitHub-hosted AI skills for vulnerabilities: prompt injection, malware, OWASP LLM Top 10.
Static PyPI artifact/source import-layout evidence; no installs, execution, or resolver claims.
Security checks for Next.js + Supabase apps: code scan, read-only live DB check, fix confirmation.
Reduce your AI bills by up to 99% locally: focused code, warm prompt caches & zero secret leaks.
Free Slither scan of Solidity contracts for AI coding agents; optional paid report (1 USDC, x402).
Design system for agents: find components by need, check code against the real API, build themes.
Pre-flight verdict on MCP servers: known-bad identity, CVEs, dependency tree, tool drift. Signed.
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
Search the source code (HTML, JavaScript, CSS) of web pages.
Ledger of record for AI spend: verifiable receipts, waste auditor & model arbitrage MCP.
Audit AI Agent SDKs and MCP servers for breaking changes, schema drift, and migration fixes.
Check PyPI and npm upgrades: known vulnerabilities, the safe version, and what each upgrade breaks.
Blazor UI library DRYL: find components, read their exact API and tokens, validate Razor markup.
Check code against secure-coding rules mapped to ISO 27001 and the DPDP Act. Free, no account.
Enforces architectural invariants and code quality rules inside your AI agent's edit loop.
Drupal core API changes, contrib usage, upgrade checks, patches, code search, SQL, WordPal themes.
Package intelligence for AI agents across npm, PyPI, crates.io and deps.dev. No API keys.
Claspine docs, API reference and code checks for AI agents: guides, recipes, errors, upgrades.
Bounded software search, unknown requirements, and the origins of project identifiers.
Find retiring AI models and outdated API SDKs in your code, with dates, replacements and guides.
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
