Vinkius
Notion

Notion MCP. Query databases and search pages by content, not just titles.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Notion MCP on Cursor AI Code Editor MCP Client Notion MCP on Claude Desktop App MCP Integration Notion MCP on OpenAI Agents SDK MCP Compatible Notion MCP on Visual Studio Code MCP Extension Client Notion MCP on GitHub Copilot AI Agent MCP Integration Notion MCP on Google Gemini AI MCP Integration Notion MCP on Lovable AI Development MCP Client Notion MCP on Mistral AI Agents MCP Compatible Notion MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

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

+ 11 more capabilities included
Query Structured Data

Reads specific data rows from a Notion database using defined filters.

Search Content Globally

Uses fuzzy text matching to locate pages or databases across the entire workspace by title or content fragment.

Read Document Structure

Dives into a page's internal block hierarchy, reading metadata and nested textual content for summarization.

Manage Records

Creates new pages or inserts data rows directly into existing Notion databases.

Map Users

Lists all active users and bot accounts within the connected Notion workspace domain.

Supported MCP Clients

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ other MCP clients
Included with Plan

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AI Agent

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.

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 Vinkius
append019e9a8f

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

archive019d75df

archive page

Deletes or archives a specified Notion page.

create019e9a8f

create database

Properties define columns. Minimum: provide a title property with type "title". Create a new Notion database inside a page

create019d75df

create page

Inserts a new record (row or page) into an existing Notion database.

delete019e9a8f

delete block

) from a page. This action is irreversible — the block and all nested children are permanently deleted. Permanently delete a Notion block

get019d75df

get blocks

Reads the full, hierarchical textual content contained within a specific Notion page.

get019d75df

get database

Retrieves the schema definition—the column headers and types—of a specified Notion database.

get019d75df

get page

Reads only the metadata properties (title, status) of a single Notion page, not its body text.

list019d75df

list users

Lists all active users and bot integrations within the connected workspace.

query019d75df

query database

Extracts structured data rows from a Notion database based on filters or queries.

search019d75df

search databases

Performs a global fuzzy search across the titles and content of all databases in the workspace to find their UUIDs.

search019d75df

search pages

Performs a global fuzzy search across every page in the workspace, finding pages by title or keyword.

update019e9a8f

update 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

update019d75df

update page title

Changes the visible title of an existing Notion page.

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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.

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.

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.

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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.

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Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

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