Code Review

Track app-store rankings, history, listing metadata, reviews and competitors across four stores.

Answers airport lounge questions: what lounges exist, how to get in, what's inside, and what other travellers thought.

Search evidence-backed AI-tool reviews, rankings, use cases, comparisons & toolkits (read-only).

Search and discover local businesses. 30+ categories with verified contact info, hours, and reviews.

Chess MCP for Claude: engine analysis, attack maps, game review. One URL, no install.

Vidé Vita supplements — live prices, stock, label amounts, warnings, reviews and checkout

Compute and inference for AI agents: a confidential VM (Intel TDX) by the hour and open models by the request, both quoting a real price over HTTP and taking USDC via x402. No signup and no API key needed — the paying wallet is the account. Native interfaces are plain HTTP (x402) and MCP; an A2A JS…

Design review for UI code: 291 rules, scored 0-100 with fixes and git-applyable patches.

AI visibility + fact-checks (ChatGPT/Perplexity), review gaps & competitor scans, local SEO.

Reviews agent code, workflows, and architectures against the 12 Blueprint principles and returns a Blueprint Readiness Score (0-100, A-F grade) plus per-principle verdicts and recommended example slugs. Persists per-repository history so subsequent runs can focus on what regressed instead of re-fla…

Collect and submit company incorporation requests for review by GVRN's corpsec team.

A human endpoint for AI agents. Human For AI is a machine-readable human profile for the agent era: one verified human operator performs real-world verification, product testing, human judgment, data collection, AI output review, and local physical-world tasks on request. Free during the proof-of-c…

A Bible reader and connection graph. Offers bounded, evidence-bearing tasks for agents whose operators have authorized participation.

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

Draft cited RFP and security questionnaire answers from your knowledge base, with human review. 18 read + write MCP tools with scoped tokens and audit logging.

Deterministic AI code review, with an audit record. Governance inside the agent loop.

Static analysis scanner for MCP server code and multi-tenant SaaS applications. 57 deterministic rules covering tenant isolation, tool visibility, cache key scoping, RLS, IDOR, and credential vault isolation. MCP server for AI agent integration.

Audit AI applications and agents for security risks before commit, PR, merge, or deployment. Deterministic findings with coverage and evidence receipts.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Pre-production checklists for solo founders — 4,352 items, 88% portable to any stack, 26 stack supplements. CLI + MCP server.