CleanSlop vs mpai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CleanSlop and mpai — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CleanSlop
CleanSlop
Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.
Key features
- Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
- System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
- Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
- Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
- Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
- Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
- GitHub App Integration: Scan only the repositories you select, read-only access.
- Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.
Best for
- A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
- A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
- A side-project builder verifies that one user's data cannot be read by another through database policies.
- A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
- A team lead gets a short prioritized list instead of hundreds of linter warnings.
- An indie hacker books an expert triage call to confirm an ambiguous finding.
mpai
mpai (open source)
Terminal-native, open-source tool that lets a teammate join your live Claude Code or Codex session over a private tailnet.
Key features
- Live Session Join: A teammate opens your in-flight Codex or Claude Code conversation from their own terminal without losing context.
- Named Identity Prompting: Every prompt is attributed to the person who typed it, so audit trails show who steered the agent.
- Private Tailnet Transport: Sessions travel over a Tailscale-style overlay network — no public relay, no third-party server.
- Terminal-Native, No New IDE: Works with the CLI agents you already run; nothing changes about your editor or model.
- Ephemeral Rooms: Start a short-lived room (e.g. 5-minute) for a quick pair session and it closes on its own.
- Access Controls and Audit: Presence, transcript, list, and prompt routes all share the same access check with an audit log.
- Open Source: Full source is on GitHub; self-host end to end.
Best for
- Pair Debugging: Hand a stuck agent session to a teammate so they can prompt from their own terminal without cloning context.
- Code Review of Agent Work: Reviewer joins live to steer or challenge the agent instead of reading the diff cold.
- Onboarding: Senior engineer takes a junior through a real agent session in real time.
- Long-Running Task Hand-off: Pass a multi-hour Codex refactor to the next shift without losing the running conversation.
- Security-Conscious Teams: Collaborate on agent work without routing traffic through a hosted SaaS relay.
