"Figma Context MCP - Searching for Related Information or Tools" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Signed third-party verdict on what an npm package or file does when run. No key, no signup.
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Thermal label MCP server: render, validate, debug and convert ZPL, EPL, TSPL and CPCL labels.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
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.
Scan code for quantum-vulnerable cryptography and get NIST post-quantum migration guidance.
Guardian agent for AI coding: four frontier models review risky diffs and commits before they ship.
Production-safety audits for AI-generated code, with a fix for every finding.
Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.
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.
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.
**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
Paid AI utility APIs for semantic web comparison, migration safety, code verification, document extraction, security analysis, monitoring, accessibility auditing, and citation research. Accessible through MCP with x402 payments on Base mainnet.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
CodeSentinel — AI-powered codebase health agent
Paid AI utilities for web comparison, code checks, document extraction, security, and research.
Security scanner for MCP servers and skills: Unicode injection, patterns, secrets.
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
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).
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.
