Notion MCP for AI. Query databases and edit pages without opening the app.
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Notion MCP Server connects your entire Notion workspace—databases, pages, and blocks—directly to your AI agent. Instead of jumping into Notion just to find a piece of data or update a status, your agent can search across all databases, pull page contents, and edit properties using natural conversation.
It's like giving your chat client read/write access to your entire knowledge base without opening the app.
What your AI can do
Append block children
Adds new content blocks to the end of an existing block or page.
Create page
Builds a brand new page in your Notion workspace, requiring you to specify its parent and properties.
Get me
Retrieves basic information about the current AI agent connection or integration status.
You can ask your agent to find pages or databases by title using the search tool.
The query_database tool lets you filter and sort items in any Notion database with specific criteria.
Use retrieve_page to pull the complete content of a single Notion page by its ID.
You can change metadata—like status, owner, or date—on an existing page using update_page.
The agent uses create_page to build and save entirely new knowledge entries into your workspace.
Ask an AI about this
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Notion MCP Server: 12 Tools for Knowledge Management
These tools allow your AI client to read, write, search, and modify every part of your Notion workspace through structured commands.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Notion on VinkiusAppend Block Children
Adds new content blocks to the end of an existing block or page.
Create Page
Builds a brand new page in your Notion workspace, requiring you to specify its...
Get Me
Retrieves basic information about the current AI agent connection or integration...
List Databases
Provides a list of all databases available for querying in your entire workspace.
List Users
Pulls a comprehensive list of every user account within the connected Notion...
Query Database
Runs advanced queries against specific databases, allowing you to filter and sort records by any property.
Retrieve Block Children
Gets a list of all nested blocks (text, images, lists) contained within another block or page.
Retrieve Database
Fetches the schema and metadata for a specific database ID, helping you understand...
Retrieve Page
Grabs all content from a single Notion page if you know its unique ID.
Retrieve User
Retrieves detailed information about a specific user by their ID.
Search
Quickly finds pages or databases anywhere in your workspace by matching title...
Update Page
Changes properties on an existing Notion page, such as marking it 'Done' or changing its owner.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Notion integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Notion, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Notion. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The biggest time killer isn't writing—it's finding where the data lives.
Right now, if you need a single piece of information—say, 'What was the budget allocated for Q4?'—you open Notion. You navigate to the main project page. Then you click into the related database. You filter by quarter. If it's not there, you have to open another linked document and repeat the process.
With this MCP server, that manual journey disappears. Your agent just asks: 'What was the budget allocated for Q4?' It runs `query_database` against your entire setup and gives you the number in three seconds. You stay right where you are.
Notion MCP Server: Use the tools to control content flow.
You don't have to manually update status fields across dozens of pages. Instead, your agent runs `update_page` and changes them all at once. Need to add related documentation? You just use `append_block_children` in a single command.
The difference is control. You stop being a user who clicks links and start being an architect who issues commands. It's that simple.
What your AI can actually do with this
Yo, this Notion MCP Server hooks up your whole Notion workspace—every database, every page, every block—straight into your AI agent. You don't gotta open a browser tab or manually copy-paste anything anymore; your agent handles it all through natural chat conversation. It’s like giving your client read/write access to the entire knowledge base without even opening the app.
Finding What You Need:
To find pages or databases, you just use search. It quickly locates anything in your workspace by matching title keywords. If you need a full inventory of data sources first, run list_databases to get a list of every database available for querying across the whole thing. You can also pull lists of people using list_users, and if you know who you're looking for, retrieve_user gets detailed info on any specific user by their ID.
Digging Deep into Data:
The server handles reporting with query_database. You can run advanced queries against specific databases; this lets you filter and sort records based on any property you want. Need to know what a database looks like before querying it? Use retrieve_database to fetch the full schema and metadata for that specific database ID, so you understand its structure.
For reading content, use retrieve_page. This tool grabs all the raw content from a single Notion page if you know its unique ID. If you just need to see what blocks are nested inside a page or another block, run retrieve_block_children.
Editing and Building Stuff:
You don't just read; you write back. To change metadata on an existing entry—like flipping a status field from 'To Do' to 'Done,' or changing who owns a page—you use update_page. For building new knowledge entries, the agent uses create_page to build and save entirely new pages into your workspace; you gotta specify the parent and all the properties it needs.
When you need to add content blocks to an existing block or whole page, append_block_children handles that for you.
The Bottom Line:
Your agent doesn't just pull data; it manages your knowledge base. You can ask it to find a record using search, then run reports on it with query_database. If the results are complex, you use retrieve_page to get all the content. Then, if that info is stale, you tell it to update the owner or status via update_page.
You can even build out brand new sections using create_page, and then append specific blocks of text or images using append_block_children.
It’s all about making Notion act like a backend API you talk to naturally. Your agent doesn't just read the data; it uses the whole suite—from getting connection status with get_me to pulling user lists and detailed records using retrieve_user—to make sure your entire workflow stays inside chat, period.
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Here's how it actually works
The bottom line is: your AI client acts like a background worker, handling the API calls and data retrieval so you don't have to switch applications.
You tell your AI client what you need—for instance, 'Find all tasks for Q3 marked as high priority.'
The agent identifies the required data source and invokes query_database, passing in filters (e.g., status='High Priority' and date range='Q3').
The Notion MCP Server runs the query against your workspace, returning a structured list of results that the agent presents to you.
Who is this actually for?
This is for anyone whose job requires constant context switching between documentation platforms. If you spend more time copying links than writing code, this saves time. It’s especially useful for PMs and technical writers who need to synthesize information from dozens of structured databases before they can write a single document.
You use search and query_database to gather fragmented details across multiple project wikis, then compile them into a coherent technical specification.
You ask your agent to list all tasks in the 'Feature Backlog' database using list_databases, filtering by owner and status, giving you an immediate progress report.
You need to update user roles across multiple internal docs; you run a bulk action via update_page or append_block_children instead of logging into every document.
What Changes When You Connect
You can manage content structures instantly. Need to add a section or append notes? Use append_block_children instead of manually editing raw page code, keeping your workflow in chat.
Data retrieval is surgical. Don't just read everything; use query_database to filter down exactly what you need—like 'all tasks assigned to Bob that are overdue.'
Maintain a single source of truth. By connecting Notion through the agent, you treat your entire workspace as one massive, searchable knowledge base via the search tool.
Work with structured data types. The retrieve_database tool lets you understand a database's schema before you write a query, which is key for reliable scripting.
Build content on demand. Instead of making a draft page and forgetting it, use create_page to build out new documentation entries directly from your prompt.
See it in action
The Q3 Status Report
A PM needs the status for 20 different features. Instead of opening 20 Notion pages, they tell their agent: 'List all items in the Product Backlog database where status is not Done.' The agent runs query_database and spits out a clean, aggregated list instantly.
Updating Team Roles
An Ops Engineer notices several pages are outdated. They tell their agent to 'Update all project charter pages to reflect the new legal department owner.' The agent runs update_page against a group of IDs, saving hours of manual clicking.
Deep Content Research
A writer needs context on a product feature. They use the agent to first run search for 'Feature X,' then select the top 3 results and ask the agent to retrieve_page from each one, compiling all three documents into their chat window.
Onboarding New Users
A manager needs to onboard a new user. They tell the agent: 'Create a new page for Jane Doe under the HR Wiki.' The agent runs create_page, sets the title, and assigns initial template properties using schema knowledge.
The honest tradeoffs
Treating Notion like a simple file dump
Trying to copy-paste complex tables or nested lists into your chat window because you don't know how to query them.
Don't copy. Use query_database and specify the exact columns and filters you need. The agent handles the structure, not you.
Over-relying on search alone
Searching for 'Client X project details' but getting 50 pages that only mention it once.
If search gives too many results, don't browse them. Instead, use list_databases to find the core database, and then run a targeted query_database filter.
Assuming data is flat
Thinking you can just send 'the main text' to update something without knowing where it lives.
Always start by running retrieve_block_children or retrieve_page. This shows the agent the exact IDs and block structure needed before you ask it to use append_block_children.
When It Fits, When It Doesn't
Use this Notion MCP Server if your core workflow involves synthesis—combining scattered data points from multiple structured sources (databases) into a single output (a report, an email draft, or new content). You need the agent to be a 'data retriever' first and foremost. If you only need to read one specific page occasionally, simple API access might suffice. But if your process involves repeated querying, filtering, updating status flags across dozens of records (update_page, query_database), or building out new documentation from scratch (create_page), then this is necessary. Don't use it if you just need to store a single note; stick to native Notion API calls. You must use the agent tools like list_databases first, because without knowing the schema, trying to run a query will fail.
Questions you might have
How does the Notion MCP Server use `query_database`? +
It lets you query specific databases using filters, sorting criteria, and property names—all from your chat prompt. This is much more powerful than just browsing a view.
Can I list all my workspaces with `list_databases`? +
No, list_databases only lists the databases within the single workspace that's connected to this integration instance.
What does `retrieve_page` actually do? +
retrieve_page pulls all text and content from a specific page ID. It gives you the raw data structure, so your agent can read it immediately.
How do I add new sections using `append_block_children`? +
You tell your agent which block or page to target, and what text/content to append. This keeps the writing process conversational.
Is there a way to find pages by keyword? Use `search`. +
Yes, that's exactly what search does—it scans your workspace for titles or content matching keywords.
When I use `list_users`, what data points can my agent collect about users? +
It provides a list of user IDs, names, and their associated email addresses. Your agent uses this to validate permissions or identify who owns a piece of content before making changes.
How does `retrieve_block_children` handle deeply nested pages? +
It retrieves all immediate child blocks for a specified block ID. For deep nesting, your agent must call the tool sequentially on every returned child block until no further children are found.
What information do I need to pass to `create_page`? +
You must provide the parent object and all required properties. The schema dictates what fields you need; if a property is mandatory but missing, the tool returns a specific validation error.
Can the AI query specific rows in a Notion database? +
Yes! Supply the Database ID and you can filter rows by properties, check tags, and read text fields.
Does it support creating new pages? +
Absolutely. The agent can construct a new page as a child of an existing page or database.
How do I share my Notion pages with the integration? +
You must explicitly share specific databases or root pages with your 'Internal Integration' user via the Notion UI share menu.
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