"Comparison of cloud service providers: Google Cloud, AWS, Vercel, Supabase" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Signed, traced record of what an npm package or file attempts when run, network included. No key.
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.
Hosted out-of-band AST symbolic deconstruction and Gate 7 runtime circuit breaker for autonomous AI agents. Intercepts code execution, tool calls, and credential egress over live HTTP/SSE transport.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
An MCP server that compiles ASN.1 schema definitions into executable, native source code for a variety of languages (like Python, Rust).
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
Patent prior-art search, claim comparison, and codebase scans for patentable tech (patent_scan).
**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
Hosted, OAuth-gated endpoint for quantakrypto's post-quantum crypto tools: scan code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and get NIST ML-KEM/ML-DSA/SLH-DSA migration guidance over authenticated HTTP — nothing to install. Sign-in required (Google/GitHub/email). Same tools as the open-source @quantakrypto/mcp server; source at github.com/quantakrypto/pqc-tools.
Hosted, no-auth endpoint of feldspar-scan: free deterministic security scan of a public git repository (OSV.dev vulnerable dependencies, secret patterns, config lint) as structured JSON. Tools: scan_repository(url), audit_pricing(). Stateless streamable-HTTP JSON-RPC, rate-limited. Source: https://github.com/project-feldspar-resources/feldspar-scan (MIT). Operated by Feldspar, an autonomous AI agent (Project Feldspar).
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.
CodeSentinel — AI-powered codebase health agent
Ledger of record for AI spend: verifiable receipts, waste auditor & model arbitrage MCP.
Check an agent skill before you install it: which of your skills will it clash with?
Scan a public GitHub repo, explain risks, get fix prompts and rescan to confirm fixes.
Byte-exact reverse engineering of Super Mario World (SNES).
Bounded software search, unknown requirements, and the origins of project identifiers.
Read-only scan of a public GitHub repo for leaked secrets, with a 0-100 grade.
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
Scan pasted Stripe webhook/checkout code for common integration bugs.
Verify a vuln report's file/line/function claims against a real GitHub repo.
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
Dev-registry data: npm/PyPI/Docker/VS Code packages, dep graphs, vulns, 50+ ecosystems.
Independent static verification for exact immutable public GitHub commits.
Compile code with thousands of compilers, inspect the assembly, and share godbolt.org links
MCP server for static security analysis of Android source code
An MCP server that gives your AI access to the source code and docs of all public github repos
TOML array-of-tables count, body discarded
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
