"Finding people on LinkedIn using their names" matching MCP connectors:

Lekta — AEO/GEO Audit for AI Answer EnginesA

dev.lekta

**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.

Production-safety audits for AI-generated code, with a fix for every finding.

LunarWerxA

com.lunarwerx

Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.

Check if a dependency's license obligates you, based on how you ship. npm, PyPI, Go.

The OpenZeppelin Stylus Contracts MCP server generates secure smart contracts for the Arbitrum Stylus environment using OpenZeppelin templates, including ERC-20, ERC-721, and ERC-1155 standards. It automatically validates generated code against OpenZeppelin's security and style rules, enforcing best practices for imports, modifiers, naming conventions, and security checks to prevent common vulnerabilities. The server integrates with AI development tools like Cursor, Claude, Gemini, Windsurf, and VS Code to enable AI-assisted, production-ready smart contract development.

The OpenZeppelin Cairo Contracts MCP server generates secure smart contracts in the Cairo language for Starknet environments based on OpenZeppelin templates. It brings OpenZeppelin's proven security and style rules directly into AI-driven development workflows to create safe, production-ready contracts. Key capabilities include providing templates for ERC-20, ERC-721, ERC-1155, Multisig, Governor, and Vesting contracts.

## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple

Watch dependencies, verify facts, inspect coverage, and catch up on changes with durable cursors.

Stack intelligence from real production Rails apps. Compare gems, scan a Gemfile. No API key.

Multi-reviewer AI code review: surfaces findings the reviewers agree on, disputes flagged.

Always-on performance engineering for your own code: proven pull requests, the merge stays yours.

Dependency risk + calibrated, publicly scored forecasts on OSS packages. Docs: anteproof.com/docs

Audit GitHub repos for malicious and supply-chain code before you depend on them.

Score MCP tool definitions 0-100. Checks names, schemas, annotations, and uniqueness.

Source code search for every package on PyPI and npm.