18 AI tools that integrate with Notion (or integrate via API)

Notion has become the default workspace for teams that want flexibility without drowning in a pile of disconnected tools. It works as a document hub, a lightweight project manager, a wiki, a content calendar, and a database system all at once. The problem is that once teams start using it for everything, they quickly hit a ceiling. You can store information easily, but acting on that information still takes manual work. Drafting content, summarising research, pulling insights from meeting notes, generating documentation, tracking tasks, and moving data between tools can still eat up hours every week.

That’s the gap AI integrations try to fill. Notion’s API makes it possible to push and pull data in and out of your workspace, so AI tools can help you automate the messy parts: rewriting content, generating briefs, extracting action items, analysing notes, or updating databases based on workflow triggers. Instead of bouncing between ten apps, teams want their AI tools to operate inside the same system where their knowledge already lives.

Integrating AI with Notion also has a simple strategic advantage: centralization. Most companies want one source of truth instead of scattered files across docs, spreadsheets, PDFs, Slack threads, and half-forgotten tools. If something important ends up in Notion, people want AI to handle it there, not in another platform. So these integrations exist because teams want to speed up creation, reduce manual busywork, keep information connected, and avoid yet another siloed tool that no one checks.

In short, Notion gives you structure, but AI gives you leverage. Combine both, and your workspace stops being a static wiki and becomes an active system that helps you get work done faster and with less friction.

Below you’ll find a curated list of 18 AI tools, each with a short description of how they integrate with Notion, and what kinds of use-cases they unlock. For your marketing/knowledge-work context this can help with content workflows, automation, knowledge capture, and more.

Our top picks for AI tools that integrate seamlessly with Notion

1. Notion AI

What it is: Notion’s native AI features: writing assistance, summarisation, chat/agent features, database autofill, meeting-note automation.

‍How it integrates: Because it’s built into Notion, the integration is seamless — you use AI within your workspace for drafting, summarising, and automating tasks.‍

Why you might use it: It helps anyone draft, summarise, organise, and automate work inside Notion, which reduces manual effort and keeps information consistent across teams.

2. Fellow (AI Meeting Assistant)

What it is: A secure AI meeting-assistant and notetaker that integrates with many platforms including Notion.

How it integrates: Through a Notion integration Fellow can export meeting notes or sync selected action items directly to a Notion page or database. Learn more about Fellow's integration with Notion.‍

Why you might use it: Once connected, you can export meeting notes or sync meeting action items directly to a Notion page or database. Each item carries its context: date, participants, and linked agenda, so information slots neatly into existing project views without retyping.

3. OpenAI (e.g., ChatGPT / GPT models)

What it is: Large-language-model service (via API) from OpenAI that can power custom automations.‍

How it integrates with Notion: While there’s no “native” button inside Notion labelled “ChatGPT”, users frequently build workflows using Notion’s API + OpenAI’s API to pull content from Notion, generate new content, and write back. For example, via automation tools.‍

Why you might use it: It automates repetitive writing, summarisation, data transformation, and knowledge tasks. Useful for anyone who wants to speed up documentation or convert raw information into usable outputs.

4. ZenoChat (by TextCortex)

What it is: An AI assistant that supports using knowledge bases including Notion workspaces.

How it integrates: You upload or connect Notion pages into ZenoChat’s “Knowledge Bases” so the tool can reference your Notion content when generating responses.‍

Why you might use it: It helps individuals and teams query their Notion knowledge base, surface information faster, and generate content based on real workspace data.

5. n8n

What it is: A low-code/automation platform that supports workflows between Notion and AI tools (including OpenAI).‍

How it integrates: You can set up a workflow triggered in Notion (e.g., new page created) → send content to OpenAI model → write result back into Notion. (This is via the Notion API) ‍

Why you might use it: It automates workflows across tools so users can avoid repetitive tasks, keep databases updated, and ensure information moves between systems without manual work.

6. Make (formerly Integromat)

What it is: Another automation platform that supports Notion + AI integrations.‍

How it integrates: Similar to n8n: you can link Notion actions to AI tools, send data, receive outputs. Although you’ll need to set things up manually.‍

Why you might use it: It lets teams connect Notion with AI tools or other apps to streamline processes, reduce operational friction, and centralise data handling.

7. Cursor

What it is: A tool referenced in Notion’s MCP documentation as an example of an “AI assistant” that integrates data from Notion.

‍How it integrates: Via the Model Context Protocol (MCP) or via custom APIs: you allow the tool to read from Notion and act based on that content.‍

Why you might use it: It allows users to build custom AI assistants that rely on their Notion content, which increases accuracy and keeps work grounded in internal knowledge.

8. Claude by Anthropic

What it is: The AI assistant developed by Anthropic that now supports app integrations including Notion.‍

How it integrates: Claude can connect to Notion via app integrations / connectors (MCP style) so it can read content from Notion, generate based on it, and write back.‍

Why you might use it: It offers an alternative AI assistant that can read and write Notion content, helping any role generate cleaner documentation, analyse information, or speed up research.

9. Jasper

What it is: An AI content-generation platform geared toward marketing copy, blog posts, social content.‍

How it integrates with Notion: While not always direct native integration, you can position Notion as your content hub, use Jasper to generate content drafts and paste/write back into Notion; or use automation to push data between them.‍

Why you might use it: It supports anyone creating written content, from reports to team updates, by generating fast, first-draft material that can be stored and refined in Notion.

10. Anyword

What it is: An AI tool focused on marketing-copy and variant generation for ads, email, social.‍

How it integrates with Notion: Similar to Jasper: Notion acts as your content storage/editor, Anyword generates copy which you can store/manage in Notion pages or databases.‍

Why you might use it: It helps individuals quickly produce variants of writing, improve clarity, and test different messaging styles before organising the results in Notion.

11. Grammarly

What it is: AI-powered writing assistant improving grammar, tone, clarity.‍

How it integrates with Notion: Since Grammarly offers browser extension support, you can use it when writing inside Notion pages. While not a “direct integration” via API, it works in the same workspace.‍

Why you might use it: It improves writing quality directly inside Notion, which benefits anyone responsible for documentation, knowledge sharing, or communication.

12. Wordtune

What it is: AI tool focused on rewriting, paraphrasing, tone adjustment.‍

How it integrates with Notion: Use it via browser extension while editing Notion pages; or prototype rewriting workflows where raw content in Notion is sent to Wordtune for variation and then returned.‍

Why you might use it: It gives users fast rewrites and tone adjustments, making it easier to clean up notes, turn rough text into something readable, or refine long-form content.

13. Tome

What it is: AI-powered storytelling/presentation tool for creating narrative decks/slides.‍

How it integrates with Notion: You can draft your narrative in Notion, then export or copy into Tome; or some automations may pull content from Notion into Tome templates.

Why you might use it: It helps people convert Notion content into clear presentations or narratives, useful for planning, updates, proposals, and knowledge sharing.

14. Mem.ai

What it is: A knowledge-management AI tool that surfaces insights, connections across your notes.‍

How it integrates with Notion: While Mem may not have a deeply native Notion plugin, you can treat Notion as your knowledge repository and sync/pipe content into Mem for analysis.‍

Why you might use it: It surfaces connections and insights across notes that users might not see on their own, improving research quality and decision making.

15. Tana

What it is: A “second brain” / knowledge tool with some AI features (though not strictly integrated) that often competes/partners with Notion workflows.‍

How it integrates with Notion: You can export or sync data between Notion and Tana via APIs or manual workflows; some people run hybrid Notion + Tana setups.‍

Why you might use it: It offers an alternative structure for organising ideas and tasks, while still syncing with Notion workflows for people who work across multiple systems.

16. Obsidian + AI Plugins

What it is: Obsidian is a knowledge-tool; when combined with AI plugins the stack becomes more powerful.‍

How it integrates with Notion: Some users export their Notion pages into Obsidian or link both; the AI plugins then act on the Obsidian side, results can be pushed back.‍

Why you might use it: It supports deeper linking and analysis of information exported from Notion, helping roles that rely on research, knowledge retention, or complex documentation.

17. Coda AI

What it is: Coda is a document/automation tool with built-in AI; while not always strictly a Notion integration, you can design hybrid workflows.‍

How it integrates with Notion: You might push content from Notion into Coda for AI-enabled document/automation tasks and then sync outcomes back.‍

Why you might use it: It provides advanced automation and data-handling capabilities that complement Notion, allowing teams to build more complex workflows without heavy engineering.

18. Grammarly Business API (or alternative advanced writing-AI)

What it is: While Grammarly consumer side is #11 above, the enterprise API or pro writing-AI tools (e.g., rewriting, tone analysis) count here as distinct.‍

How it integrates with Notion: You can set up automation where content in Notion is passed through a writing-AI service (via API) then returned/annotated in Notion.‍

Why you might use it: It automates text improvement at scale, which is useful for any team that produces documentation, internal updates, customer-facing materials, or knowledge assets.

Choosing the right Notion integrations

With dozens of AI options that can connect to Notion, it is easy to overcomplicate your workspace. A few straightforward principles help you choose wisely.

Focus on high-ROI: Pick two or three tools that clearly remove friction from your day. Any AI integration should eliminate repetitive steps, reduce manual work, or improve clarity in your documents.

Audit maintenance cost: Automation looks simple at the start, but it requires upkeep. Mappings, triggers, permissions, and error states need attention. Choose tools you can realistically maintain.

Keep Notion as the central hub: The entire point of integrating tools into Notion is to avoid scattering information. Select integrations that respect this and help you consolidate work, not add more silos.

Consider data and ownership: Every AI tool you connect will handle some form of your workspace data. Review how each tool stores, processes, and retains information before granting access.

Start small and measure: Test one workflow end to end, confirm it saves time or reduces manual tasks, then expand. It is better to run one reliable automation than five fragile ones that break each week.

FAQ

Q: Do all of these tools have native plug-ins for Notion?‍

A: No. Some tools have direct integrations, others require API/automation layers (e.g., via Zapier, Make, n8n). As one user on Reddit pointed out:

“Notion has open API docs, you can read from your databases and feed any other AI tool.”

So you’ll want to check how “deep” the integration is (native button vs custom workflow).‍

Q: Will using multiple AI tools with Notion make my workspace slow or messy?‍

A: Potentially yes. Each integration adds data flows, maybe triggers, possibly double writes. It’s important to keep your Notion database governance clean (fields, access, permissions) and only enable tools you actively use and maintain.

Q: How secure is my data when integrating AI tools with Notion?‍

A: It depends on the tool. For example, Notion’s own AI states “No data is stored with LLM providers” unless you opt in. But when you use third-party tools, check their data retention, access, and whether they train on your data. For instance, we recommend Fellow as the most secure AI meeting assistant because it does not train with your data.

Q: I already use Notion for content; how do I pick the first tool to integrate?‍

A: Choose a pain point you’re facing now (e.g., repurposing podcast transcripts, generating social copy, knowledge summarisation). Then pick one tool that solves that pain, set up a minimal workflow, measure output. If successful, expand to others.

Q: Can I integrate these tools without technical help or engineering resources?‍

A: Somewhat yes. Tools like Make, Zapier, n8n offer low-code routing. But you’ll still need to map out your workflows, manage API tokens, test triggers and error states. If your team is small (content/marketing), plan for one “automation builder” resource (even part-time) to keep it running.