"Information about draw.io diagramming tool" matching MCP connectors:
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Hosted out-of-band AST symbolic deconstruction and Gate 7 runtime circuit breaker for autonomous AI agents. Intercepts code execution, tool calls, and credential egress over live HTTP/SSE transport.
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).
Compiles ASN.1 schema definitions into executable source code like Python and Rust.
**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
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.
Declare what your app does and where it operates; get cited, jurisdiction-specific findings.
Packagephobia MCP — install-size analysis for npm packages
ClearlyDefined — the licence, copyright attribution and provenance actually found inside an…
deps.dev MCP — Google's package metadata + dependency graph API.
Pre-flight verdict on MCP servers: known-bad identity, CVEs, dependency tree, tool drift. Signed.
Software Heritage MCP. The archive of public source code: which repositories have been archived…
Bundlephobia MCP — npm bundle-size analysis
GitMCP-ready KB for SMW (SNES) reverse engineering.
Byte-exact reverse engineering of Super Mario World (SNES).
Evidence-oriented REA + Ghidra static-analysis workflows, read-only PE32 and Delphi VMT tools.
Lets coding agents check their own code for leaked secrets, risky dependencies and AI-code mistakes
Statically audits MCP tool surfaces for token cost, schema quality, and design issues.
Review frontend code and live pages against 386 quality-gated web development rules.
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.
Simulate farms, validate GardenScript and compare policies with Rust. No outbound LLM calls.
Validated Laravel plugin data - health scores, compatibility and vendor trust
Real-time Python package and vulnerability data for AI coding agents.
Send a coupling matrix, get zone classifications and optimal factorization strategy.
DependencyOracle - 10 ICT dependency tools: SBOM, supply chain, third-party graph.
Read Codecov coverage reports, commits, pulls, flags and components.
The context platform for AI agents: code search, team decisions, and grounded project context.
Generate wiki docs from source code. Supports PowerShell, Python, Go, C#, Java, COBOL.
Post-quantum cryptography (PQC) vulnerability scanner. Detects ECDSA, RSA, AES-128 and other quantum-vulnerable algorithms in GitHub/GitLab/Bitbucket repos and Ethereum smart contracts. Returns risk score 0-100, CBOM (CycloneDX 1.6), and migration paths to NIST FIPS 203/204/205. Free tier: 10 scans/day, no key required.
