"A guide to creating a presentation" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Gives any public GitHub repo a safety grade (A to F) in plain English, with a clear next step: install, ask first, or don't install.
Code review for your coding agent's changes: a cloud bug hunt. From $4; $0 if clean or minor-only.
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).
Safety grade (A to F) for any public GitHub repo, in plain English, before you install it.
Ask Verse anything with sources, plus code review, translation and more paid per call over x402.
15 deterministic AI agent and developer tools for code context pruning, token budgeting, hybrid search reranking, self-healing patches, AST analysis, circular dependency detection, root-cause isolation, schema compilation, math/financial solving, critical-path scheduling, A/B testing, memory diffs, API compatibility checks, boundary test generation, and Monte Carlo risk simulation.
Find what to fix on a public website, for search engines and for AI answers.
Security reviews, threat models over a repo or website, and remediation tracking, in your editor.
Per-harness pre-open verdict on a received repo's agent-control surface.
Production-safety audits for AI-generated code, with a fix for every finding.
**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.
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.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
Dependency picker for coding agents: recommends, compares and scores GitHub repos with a verdict.
Merge gate for AI-written code: deterministic vetoes plus a Claude Haiku 5.5 review. No signup.
Audit a dependency list for known vulnerabilities, licenses and outdated versions.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Check code against secure-coding rules mapped to ISO 27001 and the DPDP Act. Free, no account.
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.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
Who can still change this EVM contract, and what can they do to holders?
Explain a regex in plain English and detect catastrophic backtracking risk.
Check if a dependency's license obligates you, based on how you ship. npm, PyPI, Go.
AI product expert answering from live source code, with sources and a verification status.
Verify a vuln report's file/line/function claims against a real GitHub repo.
Honest library picks for coding agents in 25-360 tokens. Tells your agent what NOT to install.
Score the privilege a Chrome MV3 extension takes from its manifest, and diff permission sets.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
Multi-model code review: a panel of models + detectors return a pass/fail verdict. Paid via x402.
Audit and repair any public GitHub repo. Free survey; paid source, unified diffs and a pull request.
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.
