"Linux-compatible version of Cursor" 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.
Free deterministic security scan of public git repos: OSV.dev vulnerable deps, secrets, config lint.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
**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
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.
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).
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.
Stop your AI agents from writing sloppy TypeScript. A toolkit that teaches coding agents like Claude Code, Codex, Cursor, Amp, and more to ship production-ready code in half the time, at half the cost. Docs are available at https://convention.sh/docs
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Checks AI-written SvGrid code against the real API, plus version-pinned Svelte 5 grid docs.
Compile code with thousands of compilers, inspect the assembly, and share godbolt.org links
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
WASM magic version, bytes discarded
TOML array-of-tables count, body discarded
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.
An MCP server that gives your AI access to the source code and docs of all public github repos
MCP server for static security analysis of Android source code
MEOK AGENTS.md Linter MCP — validates the cross-vendor coding-agent spec (Cursor / Claude Code /
- featuryOAuthapp.featury
Ask what your product does, triage requests and publish the changelog, from a map of your code.
