Productivity

Notion

Read and write Notion pages, databases, and blocks for documentation and project management.

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Mind the Product take

If your team lives in Notion - and most product teams do - this MCP server is a no-brainer. Your AI agent can read your meeting notes, update your product wiki, query databases of feature requests, and create new pages without you ever leaving your coding environment. The real power is in connecting your product knowledge base directly to your AI workflow: ask your agent to summarize last week's customer interviews or update the roadmap status based on recent commits.

How product builders use Notion

  • 1Query your product backlog database for prioritization decisions
  • 2Auto-update project status pages based on development progress
  • 3Summarize meeting notes and extract action items into tasks
  • 4Search across your entire product wiki for historical context
  • 5Create and populate PRD templates with structured product thinking
documentationproject-managementcollaboration

Getting started

From the official Notion README

Notion MCP Server

[!NOTE]

We’ve introduced Notion MCP, a remote MCP server with the following improvements:

  • Easy installation via standard OAuth. No need to fiddle with JSON or API tokens anymore.
  • Powerful tools tailored to AI agents, including editing pages in Markdown. These tools are designed with optimized token consumption in mind.

Learn more and get started at Notion MCP documentation.

We are prioritizing, and only providing active support for, Notion MCP (remote). As a result:

  • We may sunset this local MCP server repository in the future.
  • Issues and pull requests here are not actively monitored.
  • Please do not file issues relating to the remote MCP here; instead, contact Notion support.

This project implements an MCP server for the Notion API.


⚠️ Version 2.0.0 breaking changes

Version 2.0.0 migrates to the Notion API 2025-09-03 which introduces data sources as the primary abstraction for databases.

What changed

Removed tools (3):

  • post-database-query - replaced by query-data-source
  • update-a-database - replaced by update-a-data-source
  • create-a-database - replaced by create-a-data-source

New tools (7):

  • query-data-source - Query a data source (database) with filters and sorts
  • retrieve-a-data-source - Get metadata and schema for a data source
  • update-a-data-source - Update data source properties
  • create-a-data-source - Create a new data source
  • list-data-source-templates - List available templates in a data source
  • move-page - Move a page to a different parent location
  • retrieve-a-database - Get database metadata including its data source IDs

Parameter changes:

  • All database operations now use data_source_id instead of database_id
  • Search filter values changed from ["page", "database"] to ["page", "data_source"]
  • Page creation now supports both page_id and database_id parents (for data sources)

Do I need to migrate?

No code changes required. MCP tools are discovered automatically when the server starts. When you upgrade to v2.0.0, AI clients will automatically see the new tool names and parameters. The old database tools are no longer available.

If you have hardcoded tool names or prompts that reference the old database tools, update them to use the new data source tools:

| Old Tool (v1.x) | New Tool (v2.0) | Parameter Change | | -------------- | --------------- | ---------------- | | post-database-query | query-data-source | database_iddata_source_id | | update-a-database | update-a-data-source | database_iddata_source_id | | create-a-database | create-a-data-source | No change (uses parent.page_id) |

Note: retrieve-a-database is still available and returns database metadata including the list of data source IDs. Use retrieve-a-data-source to get the schema and properties of a specific data source.

Total tools now: 22 (was 19 in v1.x)


Page content as Markdown

The server exposes two tools for working with page content as enhanced Markdown instead of block JSON, which is significantly more token-efficient for AI agents:

  • retrieve-page-markdown — Read a page's full content as Markdown (GET /v1/pages/{page_id}/markdown). Pass include_transcript: true to inline meeting-note transcripts.
  • update-page-markdown — Edit a page's content with Markdown (PATCH /v1/pages/{page_id}/markdown). Prefer replace_content to overwrite the whole page, or update_content for targeted find-and-replace edits.

These endpoints require Notion API version 2026-03-11. The server now sources the Notion-Version header per operation from the OpenAPI spec, so these tools use 2026-03-11 while the rest of the API continues to use 2025-09-03 — no configuration needed. If you set Notion-Version yourself via OPENAPI_MCP_HEADERS, your value takes precedence for every tool.


Installation

1. Setting up integration in Notion

Go to https://www.notion.so/profile/integrations and create a new internal integration or select an existing one.

While we limit the scope of Notion API's exposed (for example, you will not be able to delete databases via MCP), there is a non-zero risk to workspace data by exposing it to LLMs. Security-conscious users may want to further configure the Integration's Capabilities.

For example, you can create a read-only integration token by giving only "Read content" access from the "Configuration" tab:

2. Connecting content to integration

Ensure relevant pages and databases are connected to your integration.

To do this, visit the Access tab in your internal integration settings. Edit access and select the pages you'd like to use.

Alternatively, you can grant page access individually. You'll need to visit the target page, and click on the 3 dots, and select "Connect to integration".

3. Adding MCP config to your client

Using npm
Cursor & Claude

Add the following to your .cursor/mcp.json or claude_desktop_config.json (MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json)

Option 1: Using NOTION_TOKEN (recommended)
{
  "mcpServers": {
    "notionApi": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": {
        "NOTION_TOKEN": "ntn_****"
      }
    }
  }
}
Option 2: Using OPENAPI_MCP_HEADERS (for advanced use cases)
{
  "mcpServers": {
    "notionApi": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": {
        "OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer ntn_****\", \"Notion-Version\": \"2025-09-03\" }"
      }
    }
  }
}
Zed

Add the following to your settings.json

{
  "context_servers": {
    "some-context-server": {
      "command": {
        "path": "npx",
        "args": ["-y", "@notionhq/notion-mcp-server"],
        "env": {
          "OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer ntn_****\", \"Notion-Version\": \"2025-09-03\" }"
        }
      },
      "settings": {}
    }
  }
}
GitHub Copilot CLI

Use the Copilot CLI to interactively add the MCP server:

/mcp add

Alternatively, create or edit the configuration file ~/.copilot/mcp-config.json and add:

{
  "mcpServers": {
    "notionApi": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": {
        "NOTION_TOKEN": "ntn_****"
      }
    }
  }
}

For more information, see the Copilot CLI documentation.

Using Docker

There are two options for running the MCP server with Docker:

Option 1: Using the official Docker Hub image

Add the following to your .cursor/mcp.json or claude_desktop_config.json

Using NOTION_TOKEN (recommended):

{
  "mcpServers": {
    "notionApi": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "NOTION_TOKEN",
        "mcp/notion"
      ],
      "env": {
        "NOTION_TOKEN": "ntn_****"
      }
    }
  }
}

Using OPENAPI_MCP_HEADERS (for advanced use cases):

{
  "mcpServers": {
    "notionApi": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "OPENAPI_MCP_HEADERS",
        "mcp/notion"
      ],
      "env": {
        "OPENAPI_MCP_HEADERS": "{\"Authorization\":\"Bearer ntn_****\",\"Notion-Version\":\"2025-09-03\"}"
      }
    }
  }
}

This approach:

  • Uses the official Docker Hub image
  • Properly handles JSON escaping via environment variables
  • Provides a more reliable configuration method
Option 2: Building the Docker image locally

You can also build and run the Docker image locally. First, build the Docker image:

docker compose build

Then, add the following to your .cursor/mcp.json or claude_desktop_config.json

Using NOTION_TOKEN (recommended):

{
  "mcpServers": {
    "notionApi": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "NOTION_TOKEN=ntn_****",
        "notion-mcp-server"
      ]
    }
  }
}

Using OPENAPI_MCP_HEADERS (for advanced use cases):

{
  "mcpServers": {
    "notionApi": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "OPENAPI_MCP_HEADERS={\"Authorization\": \"Bearer ntn_****\", \"Notion-Version\": \"2025-09-03\"}",
        "notion-mcp-server"
      ]
    }
  }
}

Don't forget to replace ntn_**** with your integration secret. Find it from your integration configuration tab:

Transport options

The Notion MCP Server supports two transport modes:

STDIO transport (default)

The default transport mode uses standard input/output for communication. This is the standard MCP transport used by most clients like Claude Desktop.


### Run with default stdio transport

npx @notionhq/notion-mcp-server

### Or explicitly specify stdio

npx @notionhq/notion-mcp-server --transport stdio

Streamable HTTP transport

For web-based applications or clients that prefer HTTP communication, you can use the Streamable HTTP transport:


### Run with Streamable HTTP transport on port 3000 (default)

npx @notionhq/notion-mcp-server --transport http

### Run on a custom port

npx @notionhq/notion-mcp-server --transport http --port 8080

### Bind to a different host. The default is 127.0.0.1.

npx @notionhq/notion-mcp-server --transport http --host 0.0.0.0

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