Pageree: The MCP-Driven Landing Page Platform for AI Agents

Overview

Pageree is a hosted Model Context Protocol server designed to bridge the gap between AI assistants and the operational requirements of building and managing business landing pages. While AI agents can generate page copy and structure in minutes, traditional tools often require manual intervention for hosting, form configuration, analytics, and lead delivery. Pageree eliminates this last mile friction, allowing users to build, publish, and optimize landing pages entirely through their AI assistant without leaving the chat interface.

Benefits

Pageree acts as a toolkit for AI agents, providing several key advantages. It supports an end-to-end workflow where agents can plan the offer, design the page structure, generate copy, and create forms through a single conversation. The platform handles publishing and hosting, including support for custom domains. Agents can preview drafts privately before publishing to a live URL. For lead capture, the platform includes validated, spam-protected forms. Submissions are delivered directly to the user's inbox, a configured webhook, or a CRM endpoint. There are no submission caps on any plan. Pageree also provides first-party analytics, including traffic data, conversion rates, and section-level behavior such as scroll depth and clicks. This data allows agents to identify friction points, make focused edits, republish, and measure the impact of changes. The platform includes tools for generating original images and finding icons to enhance the page. Pageree is built on the Model Context Protocol, a standard that allows AI agents to connect to external tools. This architecture addresses unique challenges of building for AI users by providing skills and logic on how to structure converting pages and interpret analytics. It ensures structured tool output to reliably maintain state across sessions. The platform adheres to strict platform rules to appear in directories like ChatGPT or Claude. Pageree employs a rigorous testing method where a fresh agent with no memory attempts to build a live page based solely on tool descriptions. The success rate of this naive agent is the primary metric used to judge product releases.

Use Cases

Pageree is designed to turn AI-generated concepts into functional business assets. It is useful for professional services to collect quote requests and schedule consultations. It helps SaaS products generate interest and book demos. It is ideal for product launches to build waitlists and capture early adopters. It is also effective for paid campaigns to create focused landing pages that match ad copy and capture qualified leads.

Pricing

Pageree offers a 30-day free trial. Pricing is structured to be easily communicated by an AI agent. The Personal Plan costs $20 per month or $200 per year. It includes up to 5 landing pages, 50 Premium images per month using GPT Image 2, 100 Standard images per month using Muse Image, unlimited form submissions, and 1 seat. The Pro Plan costs $40 per month or $400 per year. It includes up to 30 landing pages, 100 Premium images per month, 200 Standard images per month, unlimited form submissions, and 1 seat. The Business Plan is coming soon. It is priced at $40 per seat and supports up to 1,000 seats. Team plans and specific image allowances will be announced at launch. Premium images use GPT Image 2, while standard images use Muse Image. Users can renew monthly on yearly plans.

Vibes

Pageree is currently available for Personal and Pro plans, with Business plans launching soon. The platform is built by a solo founder and launched on Product Hunt. The focus is on the thesis that the true competitive advantage lies not just in building pages, but in the data loop that allows an agent to iterate on live pages based on real visitor behavior.

Additional Information

Pageree is built by a solo founder. The platform launched on Product Hunt. The focus is on the thesis that the true competitive advantage lies not just in building pages, but in the data loop that allows an agent to iterate on live pages based on real visitor behavior.