
Add any book, physical or ebook, and track your progress page by page. Set a daily reading goal and build a streak that sticks. Pick the mode that works for you: flexible ("20 pages a day") or deadline ("done by March 15"). Leaf does the math and keeps you on pace.
This is the 2nd launch from Leaf - Book Library & Daily Goals. View more
Leaf
Launching today
Leaf now connects to Claude, ChatGPT, and Notion via MCP.
Log pages, get personalized recommendations, and query your reading stats, without leaving your AI chat.
What to read next? Just ask.
Your AI knows your library, your progress, and your reading history. Get personalized recommendations without ever switching apps.
Your reading life, as a Notion dashboard.
Connect Leaf to Notion and ask once. Your AI pulls your library, TBR, and reading stats to build a full Notion dashboard.






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Launch Team / Built With




Hello Product Hunt!
I launched Leaf here earlier this year as a reading tracker for people who actually want to build a reading habit.
Today I'm back with something I've been shipping quietly over the past few weeks: AI integration via MCP.
The problem with reading apps
Every reading tracker lives in its own silo. You're in Claude trying to figure out what to read next, but your library is in some other app. You're in Notion building a dashboard, but your reading data is stuck elsewhere. You keep switching contexts, and the habit breaks.
What I built
Leaf now exposes a full MCP server. Connect it to any MCP-compatible AI - like Claude, ChatGPT, Notion AI - and your reading library becomes a first-class tool in every conversation.
What you can do today:
"What should I read next?" → your AI knows your library, your history, your pace
"Build me a Notion reading dashboard" → one prompt, full database, your actual data
Ask "am I on track this week?" → get your streak, current book, daily progress
"Log 30 pages of Dune" → done, synced to Leaf instantly
"How's my reading pace this year vs last?" → analytics from your history
Everything happens inside the AI you're already in. No switching. No copy-pasting.
For the engineers in the room
MCP is an open protocol. The server is OAuth-secured. The tools are clean and composable:
If you want to wire this into your own workflows or build on top of it, the integration page has everything you need: https://readwithleaf.app/integrations
What's next
Reading history queries, book series data, and deeper analytics are coming. I'm also watching which AI surfaces people actually use this from. Would love your feedback on the integration experience, and whether there are tool calls you'd want me to add.