Floot MCP vs Lune: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Floot MCP and Lune — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Floot MCP
Floot, Inc.
Floot MCP lets you build and publish full-stack web and mobile apps from inside Claude, ChatGPT or Cursor, with backend, database and hosting included.
Key features
- Build from Your AI Chat: Add Floot as a connector in Claude, ChatGPT, Cursor and other MCP clients, then describe the app you want and have it built in the conversation.
- Full-Stack Out of the Box: Every app gets a backend, database, user accounts/logins and hosting automatically — no git, terminal or infrastructure setup.
- One-Click Web & Mobile Publishing: Publish to a live web link and build mobile apps for the App Store and Google Play from the same project.
- Recurring Tasks: Schedule automated jobs such as daily runs without configuring cron or servers.
- Emails & Notifications: Send receipts, updates and notifications from your app without adding extra services.
- Built-in SEO: Apps ship with SEO essentials so search engines can understand and index them.
- Guided Integrations: Step-by-step setup for Stripe payments, Google login, Zapier and thousands of other services.
- Flat Action-Based Plans: Usage is measured in daily building actions (failed actions never count) instead of pay-per-token billing.
Best for
- Small Business Apps: A bakery owner builds an order-tracking app with a database and publishes it to the web and app stores from a Claude chat.
- Rapid Prototyping: Founders turn an idea into a live, shareable MVP with accounts and payments in a single conversation.
- Converting Websites to Mobile Apps: Creators package an existing web app as mobile builds for the App Store and Google Play.
- Internal Tools: Non-technical teams build lightweight internal tools with logins, data storage and scheduled jobs.
- Monetized Micro-SaaS: Makers ship small paid apps using the built-in Stripe integration and hosting.
- Iterating in ChatGPT or Cursor: Developers and non-developers alike refine UI and logic conversationally without leaving their AI assistant.
Lune
Retrograde Labs
MCP server that grounds AI agents in full-text papers from top-tier computer science conferences plus research best practices.
Key features
- Full-text Semantic Search: Search plain-language queries across papers from top-tier conferences all at once.
- Full-text Reading: Agents read whole papers via get_paper_fulltext rather than abstracts alone.
- Citation Tracing: See what a paper builds on and what later work builds on it.
- Research Best Practices: Guidance on novelty bars, baselines, ablations and review patterns surfaced when relevant.
- Claim Checking: Verify that cited claims match the source papers.
- Curated Venues: Only A/A* and CCF A conference papers, filtering out workshop and abstract-only noise.
- Works with Many Clients: Install in Claude, ChatGPT, Cursor, Claude Code and dozens of other AI clients.
Best for
- Literature Review: Find foundational papers and research gaps in a new area.
- Novelty Checks: Test whether an idea is already covered by prior work.
- Experiment Design: Get baseline and ablation expectations reviewers will look for.
- Related-work Writing: Draft positioning paragraphs with citations verified against sources.
- Peer Review Prep: Check a draft against common review patterns.
- Student Onboarding: Learn the key papers of an unfamiliar subfield.