"An MCP that connects to local software" 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.
Your agent verifies its change before commit; PR review that knows what depends on your change.
An MCP server that compiles ASN.1 schema definitions into executable, native source code for a variety of languages (like Python, Rust).
Find what to fix on a public website, for search engines and for AI answers.
Vet an agent skill before you install it: structure, triggers, secrets.
**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.
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.
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).
Canonicalize Tailwind classes to their short form, and search LunarWerx free dev tools.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Check code against secure-coding rules mapped to ISO 27001 and the DPDP Act. Free, no account.
152 reglas con postura: enforce bloquea el PR, prefer se justifica. Clean Code, SOLID y agentes.
Give your AI assistant feedback pinned to the exact element, with its code, so it can fix and reply.
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.
Bounded software search, unknown requirements, and the origins of project identifiers.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
Ask Void anything: answers with sources, plus code review, moon phases and meteor showers.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
MCP server providing Pine Script v6 documentation. Enables AI to: Look up Pine Script functions and validate syntax Access official documentation for indicators, strategies, and visuals Understand Pine Script concepts (execution model, repainting, etc.) Generate correct v6 code with proper function references
Rams is a design reviewer for UI code. The MCP server puts the hosted engine inside a coding agent: the agent passes files to the review_files tool and gets back a 0–100 score with file:line issues and concrete fixes — accessibility, color, typography, spacing, components, UX, motion, craft, and native SwiftUI. Same engine and scoring as the Rams GitHub App. 258 rules, published at rams.ai/rules. Free tier: 30 reviews/month.
Who can still change this EVM contract, and what can they do to holders?
Pure, bounded analysis of an explicit bill-of-materials graph: validates structure, finds missing...
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
JSON/YAML, regex, diff, JWT, SQL dialects — the keyless millisecond ops an agent needs mid-task.
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
The OpenZeppelin Solidity Contracts MCP server integrates OpenZeppelin's security and style rules into AI-driven development workflows, enabling AI assistants to generate safe, correct, and production-ready smart contracts. It automatically validates generated code against OpenZeppelin standards (including imports, modifiers, naming conventions, and security checks) and supports various contract types including ERC-20, ERC-721, ERC-1155, Stablecoins, RWA, Governor, and Account contracts through prompt-driven workflows.
