"Semantic Search API Solutions" 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.
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.
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
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.
Thermal label MCP server: render, validate, debug and convert ZPL, EPL, TSPL and CPCL labels.
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
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.
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.
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
Smart-contract security audits for EVM chains and DAML: quote, run and fetch reports.
Patent prior-art search, claim comparison, and codebase scans for patentable tech (patent_scan).
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.
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
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.
Stateless TypeScript and JavaScript code intelligence for AI agents. Find semantic symbol references, resolve imports and importers, inspect callers and callees, and analyze change impact with compiler-backed evidence. No repository indexing or OAuth required.
Stateless TS/JS compiler facts for agents: references, imports, impact. No repo index or OAuth.
Scan GitHub-hosted AI skills for vulnerabilities: prompt injection, malware, OWASP LLM Top 10.
Security checks for Next.js + Supabase apps: code scan, read-only live DB check, fix confirmation.
The official Svelte MCP server providing docs and autofixing tools for Svelte development
EU AI Act + GDPR compliance scanner. One call, no arguments, 10 seconds. 22 AI frameworks detected.
Review saved CyberLens website and repository scans through read-only OAuth tools.
Reduce your AI bills by up to 99% locally: focused code, warm prompt caches & zero secret leaks.
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.
Write, type-check and run AILANG in a sandbox, with Z3-proved contracts and docs search.
Ledger of record for AI spend: verifiable receipts, waste auditor & model arbitrage MCP.
LLM cost optimization gateway, repo token-waste auditor & model arbitrage MCP server.
