Notion MCP. Query databases and search pages by content, not just titles.
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Notion MCP Server connects your AI client to the entire Notion workspace. It lets you query structured databases, search pages across titles and content, and read deep into nested document blocks—all through a single API layer.
Don't copy-paste data or switch tabs; let your agent act as an intelligent librarian for all your wiki entries and project trackers.
What your AI agents can do
Append block children
) to the end of a page or nested block. Provide blocks as a JSON array of Notion block objects. Example for a paragraph: [{"type":"paragraph","paragraph":{"rich_text":[{"type":"text","text":{"content":"Hello world"}}]}}]
Append content blocks to a Notion page or block
Archive page
Deletes or archives a specified Notion page.
Create database
Properties define columns. Minimum: provide a title property with type "title".
Create a new Notion database inside a page
Reads specific data rows from a Notion database using defined filters.
Uses fuzzy text matching to locate pages or databases across the entire workspace by title or content fragment.
Dives into a page's internal block hierarchy, reading metadata and nested textual content for summarization.
Creates new pages or inserts data rows directly into existing Notion databases.
Lists all active users and bot accounts within the connected Notion workspace domain.
Ask AI about this MCP
Supported MCP Clients
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Notion: 10 Tools for Document & Database Ops
Use these tools to perform complex operations like searching global pages, reading specific database rows, or managing document titles directly through your AI agent.
019e9a8fappend block children
) to the end of a page or nested block. Provide blocks as a JSON array of Notion block objects. Example for a paragraph: [{"type":"paragraph","paragraph":{"rich_text":[{"type":"text","text":{"content":"Hello world"}}]}}] Append content blocks to a Notion page or block
019d75dfarchive page
Deletes or archives a specified Notion page.
019e9a8fcreate database
Properties define columns. Minimum: provide a title property with type "title". Create a new Notion database inside a page
019d75dfcreate page
Inserts a new record (row or page) into an existing Notion database.
019e9a8fdelete block
) from a page. This action is irreversible — the block and all nested children are permanently deleted. Permanently delete a Notion block
019d75dfget blocks
Reads the full, hierarchical textual content contained within a specific Notion page.
019d75dfget database
Retrieves the schema definition—the column headers and types—of a specified Notion database.
019d75dfget page
Reads only the metadata properties (title, status) of a single Notion page, not its body text.
019d75dflist users
Lists all active users and bot integrations within the connected workspace.
019d75dfquery database
Extracts structured data rows from a Notion database based on filters or queries.
019d75dfsearch databases
Performs a global fuzzy search across the titles and content of all databases in the workspace to find their UUIDs.
019d75dfsearch pages
Performs a global fuzzy search across every page in the workspace, finding pages by title or keyword.
019e9a8fupdate page properties
) using the Notion properties schema. Provide the properties as a JSON object matching the Notion API property format. Update arbitrary properties on a Notion page
019d75dfupdate page title
Changes the visible title of an existing Notion page.
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 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
Listen up. This MCP Server connects your AI agent to your entire Notion workspace, treating it like one massive, queryable database instead of a pile of documents you gotta copy-paste from.
Your agent handles everything: searching for info, reading deep into structure, or even dropping new records in. You don't have to jump between tabs or manually sift through pages; your AI client acts like an intelligent librarian who knows where every piece of data lives.
Finding What You Need (Global Search & Discovery)
You can make your agent search the whole darn thing using fuzzy text matching. If you need a page, search_pages finds it across titles and content fragments everywhere in the workspace. Likewise, if you're looking for a specific database, search_databases performs that same global fuzzy search on every database title and its contents to pull out the right UUID.
Reading and Understanding Content (Reading Tools)
When your agent needs information, it doesn't just read the surface. For deep dives, get_blocks reads the full, hierarchical block structure of any given page, letting you access nested text, lists, and content down to the deepest level.
If all you need is basic info—say, checking what a single page is about without reading its whole body—you use get_page, which pulls only the metadata properties like title or status. Need to know how a database is set up? get_database retrieves the schema definition for any Notion database, telling you exactly what column headers and data types it uses.
Querying and Managing Data (Structured Interaction)
When your job involves structured data, this is where the server shines. You use query_database to extract specific rows of information from a database, running defined filters or queries so you get exactly what you need—no extra junk.
If the data's wrong or needs updating, your agent can fix it. It uses create_page to drop an entirely new record or page into an existing Notion database structure. You can also insert a specific data row directly into one of those databases. If a title changes but you don't want to rebuild the content, update_page_title handles that for you.
Administration and Maintenance (Cleanup & Users)
When the job is done or something needs clearing out, your agent can use archive_page to delete or archive a specified Notion page. To keep track of who's doing what, list_users pulls a list of every active user and bot integration connected within the workspace domain.
How Notion MCP Works
- 1 Subscribe to this server, then input your Notion Internal Integration Secret into your AI client.
- 2 Your agent initiates a command (e.g., 'What was the Q4 marketing budget?').
- 3 The server executes the necessary tools (
query_databaseorsearch_pages) and returns structured data for your AI client to interpret.
The bottom line is: you send a natural language request, and the agent runs multiple specific Notion API calls to build the answer.
Who Is Notion MCP For?
Product Managers need this when they can't find a single source of truth for project requirements. Software Teams rely on it to query central sprint trackers without leaving their development environment. Ops Engineers use it to build automated reports by reading the real-time state of active users and tasks.
Uses search_pages to quickly locate specific requirements documents or reads deep content via get_blocks to synthesize project specs from meeting notes.
Queries central sprint trackers using query_database and uses create_page to automatically draft new tickets based on development decisions.
Runs automated reports by calling list_users and reading the state of active rows in databases to track team capacity or resource allocation.
What Changes When You Connect
- Find anything instantly: Use
search_pagesto skip the manual wiki crawl. You can find specific documentation fragments or misplaced meeting notes using natural language queries. - Structure your data flow: Forget reading scattered text. Running
query_databasegives you clean, tabular data rows that your agent processes directly—perfect for reporting. - Know who's involved: The
list_userstool provides a real-time roster of team members and active bots, eliminating guesswork when assigning tasks. - Maintain data integrity: Instead of manually editing fields, use
create_pageorupdate_page_titleto programmatically manage records inside the database structure. - Read context deeply:
get_blocksreads beyond just the title. It accesses nested lists and paragraphs, allowing your agent to summarize complex project specs accurately.
Real-World Use Cases
Finding a forgotten document
A Product Manager needs the original spec for 'Project Phoenix.' Instead of searching keywords and getting 50 results, they ask their agent. The agent uses search_pages to pinpoint the exact page UUID, giving them immediate access.
Generating a status report
An Ops Manager needs to know which tasks are overdue across three different departmental trackers. They use query_database repeatedly for each tracker and ask the agent to compile one unified summary of only 'Status: Blocked' records.
Updating a central resource guide
A Developer writes new API documentation. Instead of manually updating the main database, they use create_page within the centralized 'API Docs' database to insert a brand-new, correctly formatted record.
Summarizing meeting outcomes
A Knowledge Worker has 10 pages worth of raw meeting notes. They pass the page UUIDs to their agent, which calls get_blocks on each one, and summarizes all key decisions into a single bulleted list.
The Tradeoffs
Copy-pasting data fields
The user manually opens the database, copies 5 rows of text, pastes them into an email, and then has to go back and update Notion. This is slow and error-prone.
→
Ask your agent to run query_database for the required data, or use create_page if you need a new record initialized with structured data.
Searching only by title
You search Notion for 'Marketing Strategy' and miss the document because it was titled 'Q4 Plan - Marketing'. You waste time checking multiple irrelevant pages.
→
Use search_pages. This tool runs a fuzzy text match across the entire page content, guaranteeing you find documents even if the keyword is buried in the body.
Assuming full data visibility
The user thinks they can read all notes from a database row but only gets the title. They struggle to understand why the detailed text isn't available.
→
If you need deep content, use get_blocks on the page containing that data. The get_page tool only retrieves basic metadata properties.
When It Fits, When It Doesn't
Use this server if your workflow requires reading or writing structured knowledge stored inside Notion's internal architecture (databases, nested blocks). Don't use it if you simply need to send an email or run a complex calculation that doesn't involve retrieving specific content. If the data source is in a dedicated CRM system (e.g., Salesforce), connecting to that tool instead is better. However, if your core pain point is navigating and extracting information from disparate Notion pages—from finding a UUID via search_databases to summarizing its contents using get_blocks—this server handles the whole lifecycle.
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 server provides 14 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding key documents shouldn't involve clicking through 30 tabs.
Today, finding a specific project spec means opening the main Wiki page, checking the 'Project X' database for status updates, then manually searching titles to locate the associated meeting notes. You spend time jumping between views and copying snippets into an email draft.
With this MCP server, you ask your agent one question—like 'What was decided about Project Phoenix last week?'—and it runs `search_pages` across all relevant databases and wikis. It pulls the answer directly from the source material without you ever leaving the chat window.
Notion MCP Server: Querying data structure in Notion
Manually pulling status updates requires clicking into each database, running a filter (Status = In Review), and then copying the relevant fields (Owner, Due Date). This process is repetitive and breaks down if the schema changes.
Now, you tell your agent to 'Give me all tasks owned by Jane that are past due.' The server runs `query_database`, providing structured JSON output instantly. It's clean data for your AI client—no copy-pasting needed.
Common Questions About Notion MCP
How do I find a database ID using the Notion MCP Server? +
You use search_databases. This tool runs a fuzzy search across all databases in your workspace, returning the UUIDs necessary to reference them later for querying.
Can I read content from a whole database using query_database? +
Yes. The query_database tool lets you filter and extract specific rows of structured data based on criteria, giving you clean output instead of just the schema definition.
Does Notion MCP Server let me read a page's entire text? +
Yes. Use get_blocks. This function reads the full block hierarchy—meaning it accesses nested paragraphs, lists, and images, not just the title or basic metadata.
How do I list all team members in Notion? +
You run the list_users tool. It enumerates every active user account and bot integration currently registered within your workspace domain.
How does the `create_page` tool insert data into a database? +
It initializes new rows or pages inside any specified Notion container. You provide the necessary title and property values, making the record immediately active in your workspace.
What information does `get_page` retrieve about a Notion Page? +
This tool retrieves only the page's metadata properties, not its body text. This is faster than reading content and gives you details like the title, parent ID, or last modified date.
How does `search_pages` help me find document IDs? +
It performs a fuzzy text search across all pages in your entire workspace. You use this tool when you only know keywords and need the Page UUID to interact with other tools.
Can I use `archive_page` to clean up old documents? +
Yes, this tool handles the archiving or soft deletion of a Notion page. You must provide the specific Page ID you intend to remove from active view in your system.
Can my AI automatically create task assignments? +
Yes. Your agent can pull the exact schema of your tracker database, retrieve the user UUIDs via list_users, and seamlessly insert a new row assigning the task—all within seconds.
How do I extract long notes from a page? +
While get_page gives you raw page metadata, your agent will use get_blocks to traverse paragraphs, lists, and images to stream the entire document context back into your chat workflow.
Does it support deep searches? +
Absolutely. It leverages multiple endpoints like search_pages and search_databases globally so your agent can track down any missing document UUID using just a textual query snippet.
Multi-server workflows that include Notion MCP
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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