Review changes for bugs, style and design.
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.
Collect and submit company incorporation requests for review by GVRN's corpsec team.
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.
The merge gate for AI-written code, with signed, replayable attestation. Works with Claude Code, Codex, Cursor, and Gemini CLI.
Local-first multi-harness control plane for Claude Code, Codex, Cursor, and OpenCode with quota-aware rotation across multiple Claude Code and Codex subscriptions.
Query the Software Observatory catalog of epistemic sensors for software correctness. Built for humans and agents: every command emits JSON with --json.
Your AI writes code that doesn't exist. Tribunal Kit stops it. The governance layer for AI coding agents — 52 specialists, 28 parallel reviewers, 183 skills, Rust core, MCP server. Works with Cursor, VSCode, Windsurf, Claude Code, and Aider.
GitLab tools plugin for OpenCode - provides GitLab API access for merge requests, issues, pipelines, and more
45 specialized judges that evaluate AI-generated code for security, cost, and quality.
Audit any website's UX the way a design-literate reviewer would — contrast, tap targets, type scale, copy, scan patterns, resilience — with a concrete fix for every finding. Runs in the Chrome you already have; built for coding agents (MCP).
Local-first context engine for AI coding agents. Pre-indexes your codebase into a dependency graph and feeds any MCP agent only the code that matters — 87% fewer tokens per call. New in 2.5: mechanical work verification and a PII/secret scanner. Works wit
The adaptive AI harness for React Native — project-aware SDLC intelligence for any agent