Notion MCP for AI Agents. Query structured data and find knowledge across your wiki.
Notion MCP connects your entire workspace—pages, databases, and blocks—to your AI agent. It lets you search across documents, query structured data tables, and create or update records without ever leaving your chat environment. Treat Notion like a dynamic knowledge base that talks directly to your workflow.
Give Claude and any AI agent real-world access
Find specific pages or databases anywhere in your workspace by searching titles or content snippets.
Read precise rows and columns of data from Notion databases, treating them like a spreadsheet you can chat with.
Access metadata and retrieve the raw text content from nested blocks within any page.
Programmatically create new pages or insert data rows into databases to keep information current.
Get a list of all users and bots registered in the Notion workspace for accurate team mapping.
Ask an AI about this
Waiting for input…
What AI agents can do with Notion: 14 Tools for Document Operations
These tools let you manage everything in your workspace, from creating new databases to reading specific metadata properties on pages.
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 MCPCreate Database
Creates an entirely new, structured database inside any Notion page.
Append Block Children
Inserts specific content blocks like paragraphs or lists to the end of a page or...
Archive Page
Permanently archives or deletes an entire Notion page.
Get Blocks
Reads all the textual and structured content blocks contained within a specific page.
Create Page
Adds a new, empty record or row inside an existing database structure.
Delete Block
Permanently deletes a specific content block from a page; this action cannot be reversed.
Get Database
Retrieves the column definitions and structure (schema) of an existing database.
Get Page
Pulls only the metadata properties—like owner or date—for a single Notion page...
List Users
Generates a list of all team members and automated bot accounts within your...
Query Database
Reads specific, structured data rows from an existing Notion database based on...
Search Databases
Performs a fuzzy text search across all databases in your workspace to help locate...
Search Pages
Searches globally for pages using fuzzy matching, helping you quickly find documents by title or general topic.
Update Page Properties
Modifies specific metadata fields (like status or owner) on a page without changing its main content.
Update Page Title
Changes the visible title of an entire Notion page.
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.
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 each 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 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The constant copy/paste cycle between documentation, spreadsheets, and chat apps is exhausting. Solved with Vinkius AI Gateway
Right now, if you need to know the current status of a feature, you open Notion. You click into the 'Project Tracker' database. If it's not there, you have to manually search for the right page using Google Docs or another wiki tool. Then, you copy the key data points and paste them into your meeting notes in Slack, hoping nothing gets missed.
With this MCP, that whole friction point vanishes. You just ask your agent, 'What is the status of Feature X?' Your agent uses `query_database` to read only the necessary row from Notion's database and hands you a clean answer instantly. No copying, no switching tabs, nothing.
Notion MCP: Querying Structured Data with Precision
You no longer need to manually search for the correct database UUID or filter out irrelevant pages just to get a status update. The agent uses `search_databases` first, then runs targeted queries using `query_database` based on your natural language request.
It’s not about reading documentation; it's about pulling actionable data points. You treat the entire workspace like one giant database that only answers specific questions.
What your AI can actually do with this
You don't have to treat Notion as just a static dumping ground for notes anymore. This MCP turns it into an active, searchable database accessible by your AI agent. Your agent can now perform deep searches across the entire workspace to find documents buried in nested pages or complex databases.
It doesn't just read the titles; it reads the actual content, pulling out specific data points you need.
Need to automate tracking? You can query structured databases for precise records or use the tools to build new tasks and write full documentation directly inside a container. When you connect this MCP via Vinkius, your agent acts like an intelligent librarian, giving it access to every corner of your knowledge base—from finding user emails using the list_users tool to appending notes using append_block_children.
It makes your whole company wiki feel less like documentation and more like a real-time operational data source.
019d75df-ac40-715a-842e-bcb4f121e3f0 Here's how it actually works
The bottom line is you get to use your AI client's reasoning power against the structured data of your company wiki and project trackers.
Subscribe to this MCP and provide your Notion Internal Integration Secret.
Your AI client authenticates, granting permission to read and write across your entire linked workspace.
You start by asking your agent a question—for example, 'What was the API status in Q2?'—and it runs the necessary queries to pull the answer from the right database.
Who is this actually for?
Product Managers who are tired of manually cross-referencing Jira tickets with Notion specs. Software Engineers needing instant access to outdated API documentation. Ops Managers building automated reports from disparate team wikis.
Uses the MCP to query central sprint trackers, gathering necessary requirements data and drafting user stories instantly in a new page.
Retrieves deep project specs or API schemas using get_blocks when debugging code, ensuring they have the most current documentation right away.
Runs automated reports by querying specific rows in a database to get real-time status updates on active team members and ongoing projects.
What Changes When You Connect
You get instant access to team membership information using list_users, so you never have to manually check who is assigned to a task or document.
Instead of scrolling through hundreds of pages, use search_pages and search_databases for fuzzy searching that pinpoints the exact record or wiki page you need instantly.
When you need data points—like 'What was the Q3 revenue target?'—you run a query_database command to pull only the structured answer, skipping all the surrounding narrative text.
Drafting updates is simple. You can use append_block_children to add meeting notes or status reports directly into an existing page without opening Notion in another tab.
Want to keep data clean? Use update_page_properties to change a document's owner, status, or priority field automatically based on the AI's findings.
See it in action
Finding outdated specs for an API call.
A developer needs to know which version of the API was used in Q2. They ask their agent, and the agent uses search_pages to locate the correct project specification document and then runs get_blocks to read out the exact data block they need.
Generating a weekly report summary.
An Ops Manager wants to know the status of 15 active tasks. The agent uses search_databases to locate the 'Project Tracker' database, then runs query_database to pull all current statuses into a single text output.
Onboarding a new team member.
A hiring manager needs to know who owns specific documentation. They ask their agent to run list_users, getting an immediate roster of every active user and bot, streamlining the process instantly.
Migrating meeting notes into a central database.
After a strategy session, a PM wants to capture action items. The agent takes the raw text, uses get_blocks to extract key decisions, and then runs create_page in the 'Action Items' database.
The honest tradeoffs
What to watch out for, and the recommended way to handle each one.
Trying to read everything at once
Asking your agent, 'Tell me about this whole project,' which results in a giant wall of text that mixes status updates with meeting notes and raw data.
Instead, narrow the scope. Use query_database first to pull only the structured status field, or use get_page if you only need the owner and last modified date.
Assuming a database exists
Telling your agent, 'Query my finance data,' without telling it which specific database to look at.
Always start by using search_databases so you can give the agent the correct UUID and ensure it's reading from the right source.
Trying to edit content manually
Asking your agent, 'Change this paragraph,' which might accidentally delete surrounding blocks of critical information.
If you need to modify a single field or piece of data, use update_page_properties for safety. It lets you target specific metadata fields without touching the core content.
When It Fits, When It Doesn't
Use this MCP if your process involves turning unstructured knowledge (like wiki pages) into structured actions (like updating a task status or querying a date range). This is essential when you need your AI agent to act as an informed data layer, not just a text summarizer. Don't use it if all you need is simple document drafting; for that, basic writing tools suffice. However, don't rely on it merely to read the whole page either—if you only need the title or owner, running get_page saves time and bandwidth by retrieving only the metadata properties.
If your goal is simply cross-referencing data across multiple different platforms (e.g., Notion and Slack), consider a general integration hub instead of relying solely on this MCP's specific database querying tools.
Questions you might have
How do I search my Notion workspace using the Notion MCP? +
You use search_pages or search_databases. These tools let your agent perform a fuzzy text search across all pages or databases to help you locate the correct UUID first.
Can I update database fields with Notion MCP? +
Yes, if you know the specific property and value, you can use update_page_properties to change status, owner, or other metadata on a page.
What is the difference between getting data and searching with Notion MCP? +
get_blocks reads the actual content inside a specific page. search_pages finds the location (the UUID) of pages matching your query, but doesn't read the content.
How do I list all team members in Notion? +
Simply run the list_users tool. It enumerates every active user and bot integrated into your workspace so you can map assignees accurately.
Can I create a new task using Notion MCP? +
Yes, use create_page. This tool lets your agent insert a brand-new record or row directly into an existing database structure inside Notion.
Powerful workflows you can unlock today
Build an AI Tutor Using MCP Servers
You ask ChatGPT a math question and get a confident wrong answer. Wolfram Alpha gives the provably correct computation, Perplexity adds the research context, and Notion builds your personal knowledge base , an AI tutor that never hallucinates on math
Build Document Intelligence Using MCP Servers
You have 500 PDFs, contracts and reports that contain critical business knowledge locked inside files nobody reads , Unstructured extracts the content, Pinecone makes it searchable, and Notion indexes every document
Consolidate Scattered Knowledge Using MCP
Half your documentation is in Notion and half is in Coda because two teams chose different tools , now nobody can find anything and onboarding a new engineer takes 3 weeks instead of 3 days
Create AI Podcast Content Using MCP Servers
You record a 45-minute podcast, spend 4 hours editing the transcript, and still do not have show notes, a blog post, or social clips , because transcription tools give you text but not intelligence
Create Multimodal Brand Content Using MCP
A designer charges $150 per social post and delivers in 48 hours. Your AI agent generates brand-consistent images with perfect typography, adds voice narration for video reels, and manages the content calendar in Notion , 30 posts per week, zero design software
Extract Architecture Principles Using MCP
Code patterns formalized, universal laws derived, causal forces identified , replace ad-hoc architecture with mathematical proof