dhi.io/notion-mcp
The official Notion MCP server that exposes 22 Notion API tools — pages, databases, comments, blocks, search, and more — to MCP clients such as Claude Desktop, Cursor, Zed, and GitHub Copilot CLI via stdio or HTTP transport.
All examples in this guide use the public image. If you've mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.
For example:
dhi.io/<repository>:<tag><your-namespace>/dhi-<repository>:<tag>For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.
The Notion MCP Server is the official Model Context Protocol implementation for the Notion API, maintained by Notion Labs. It exposes 22 Notion API tools to MCP clients, enabling AI agents to read and write pages, databases (data sources), comments, blocks, users, and search results directly in Notion workspaces.
The server is built on Node.js and communicates over stdio transport by default, which is the standard MCP transport
used by desktop clients such as Claude Desktop, Cursor, Zed, and GitHub Copilot CLI. An optional streamable HTTP
transport is also supported for web-based or remote deployments. Authentication uses a Notion internal integration token
(NOTION_TOKEN), which can be created at
https://www.notion.so/profile/integrations.
The server communicates over stdio, so the container must be launched with -i (interactive) to keep stdin open. The
--rm flag removes the container when the MCP client disconnects.
To verify the image works and print help information:
docker run --rm dhi.io/notion-mcp:2 --help
To run the server for use by an MCP client:
docker run --rm -i \
-e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2
Replace ntn_**** with your Notion integration token.
The server requires a Notion internal integration token to access your workspace. Create one at https://www.notion.so/profile/integrations and connect it to the pages or databases you want the AI agent to access.
Pass the token via the NOTION_TOKEN environment variable:
docker run --rm -i \
-e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2
For advanced use cases — such as specifying a custom Notion-Version header or using a different authorization scheme —
you can use the OPENAPI_MCP_HEADERS environment variable instead. This accepts a JSON-encoded object of HTTP headers:
docker run --rm -i \
-e 'OPENAPI_MCP_HEADERS={"Authorization":"Bearer ntn_****","Notion-Version":"2025-09-03"}' \
dhi.io/notion-mcp:2
When OPENAPI_MCP_HEADERS is set, its Authorization header takes precedence over NOTION_TOKEN.
Add the following entry to your claude_desktop_config.json (macOS:
~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"notionApi": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "NOTION_TOKEN",
"dhi.io/notion-mcp:2"
],
"env": {
"NOTION_TOKEN": "ntn_****"
}
}
}
}
Passing the token via the env block (rather than inline in args) avoids shell-escaping issues with the JSON value.
Add the following to .cursor/mcp.json at the root of your project or to your global Cursor settings:
{
"mcpServers": {
"notionApi": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "NOTION_TOKEN",
"dhi.io/notion-mcp:2"
],
"env": {
"NOTION_TOKEN": "ntn_****"
}
}
}
}
Add to your settings.json:
{
"context_servers": {
"notionApi": {
"command": {
"path": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "NOTION_TOKEN",
"dhi.io/notion-mcp:2"
],
"env": {
"NOTION_TOKEN": "ntn_****"
}
},
"settings": {}
}
}
}
The server also supports an optional streamable HTTP transport for web-based clients or remote deployments. Pass
--transport http and --port <port> as container arguments after the image name:
docker run --rm \
-p 3000:3000 \
-e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2 \
--transport http --port 3000
The server listens on 0.0.0.0:<port>/mcp. A health check endpoint is available at /health.
Note: The DHI image does not expose a port by default because stdio is the primary transport mode. Publish the port explicitly with
-pwhen using HTTP transport.
Bearer token authentication is enabled by default when using HTTP transport. You can configure the token in three ways:
Auto-generated token (the server prints it to the console on startup, suitable for development):
docker run --rm -p 3000:3000 -e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2 --transport http --port 3000
Custom token via command-line argument (recommended for production):
docker run --rm -p 3000:3000 -e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2 \
--transport http --port 3000 --auth-token "your-secret-token"
Custom token via environment variable:
docker run --rm -p 3000:3000 \
-e NOTION_TOKEN=ntn_**** \
-e AUTH_TOKEN=your-secret-token \
dhi.io/notion-mcp:2 --transport http --port 3000
The --auth-token argument takes precedence over the AUTH_TOKEN environment variable when both are set. To disable
authentication entirely (not recommended for production), add --disable-auth:
docker run --rm -p 3000:3000 -e NOTION_TOKEN=ntn_**** \
dhi.io/notion-mcp:2 \
--transport http --port 3000 --disable-auth
All HTTP requests must include the bearer token in the Authorization header. The MCP Streamable HTTP transport also
requires an Accept: application/json, text/event-stream header. The session id is assigned by the server — do not
supply mcp-session-id on the initialize call; the server returns it in the Mcp-Session-Id response header for use
on subsequent requests:
curl -i -H "Authorization: Bearer your-secret-token" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}},"id":1}' \
http://localhost:3000/mcp
The server exposes 22 Notion API tools to connected MCP clients. Tool discovery is automatic — clients see the full list when the server starts.
Note: Tool names exposed to MCP clients are prefixed with
API-(for example,API-retrieve-a-page,API-query-data-source). The server adds this prefix from the bundled OpenAPI specification.
Key tool categories include:
API-retrieve-a-database)Note: Version 2.0.0 migrated to the Notion API 2025-09-03, which replaces database tools with data source tools. If you are upgrading from v1.x, the old
API-post-database-query,API-update-a-database, andAPI-create-a-databasetools are no longer available. UseAPI-query-data-source,API-update-a-data-source, andAPI-create-a-data-sourceinstead.
Docker Hardened Images come in different variants depending on their intended use.
Runtime variants are designed to run your application in production. These images are intended to be used either
directly or as the FROM image in the final stage of a multi-stage build. These images typically:
Build-time variants typically include dev in the variant name and are intended for use in the first stage of a
multi-stage Dockerfile. These images typically:
FIPS variants include fips in the variant name and tag. They come in both runtime and build-time variants. These
variants use cryptographic modules that have been validated under FIPS 140, a U.S. government standard for secure
cryptographic operations. For example, usage of MD5 fails in FIPS variants.
To migrate your application to a Docker Hardened Image, you must update your Dockerfile. At minimum, you must update the base image in your existing Dockerfile to a Docker Hardened Image. This and a few other common changes are listed in the following table of migration notes.
| Item | Migration note |
|---|---|
| Base image | Replace your base images in your Dockerfile with a Docker Hardened Image. |
| Package management | Non-dev images, intended for runtime, don't contain package managers. Use package managers only in images with a dev tag. |
| Non-root user | By default, non-dev images, intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. |
| Multi-stage build | Utilize images with a dev tag for build stages and non-dev images for runtime. For binary executables, use a static image for runtime. |
| TLS certificates | Docker Hardened Images contain standard TLS certificates by default. There is no need to install TLS certificates. |
| Ports | Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container. |
| Entry point | Docker Hardened Images may have different entry points than images such as Docker Official Images. Inspect entry points for Docker Hardened Images and update your Dockerfile if necessary. |
| No shell | By default, non-dev images, intended for runtime, don't contain a shell. Use dev images in build stages to run shell commands and then copy artifacts to the runtime stage. |
The following steps outline the general migration process.
Find hardened images for your app.
A hardened image may have several variants. Inspect the image tags and find the image variant that meets your needs.
Update the base image in your Dockerfile.
Update the base image in your application's Dockerfile to the hardened image you found in the previous step. For
framework images, this is typically going to be an image tagged as dev because it has the tools needed to install
packages and dependencies.
For multi-stage Dockerfiles, update the runtime image in your Dockerfile.
To ensure that your final image is as minimal as possible, you should use a multi-stage build. All stages in your
Dockerfile should use a hardened image. While intermediary stages will typically use images tagged as dev, your
final runtime stage should use a non-dev image variant.
Install additional packages
Docker Hardened Images contain minimal packages in order to reduce the potential attack surface. You may need to install additional packages in your Dockerfile. Inspect the image variants to identify which packages are already installed.
Only images tagged as dev typically have package managers. You should use a multi-stage Dockerfile to install the
packages. Install the packages in the build stage that uses a dev image. Then, if needed, copy any necessary
artifacts to the runtime stage that uses a non-dev image.
For Alpine-based images, you can use apk to install packages. For Debian-based images, you can use apt-get to
install packages.
The following are common issues that you may encounter during migration.
The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.
By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.
Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to
privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues,
configure your application to listen on port 1025 or higher inside the container, even if you map it to a lower port on
the host. For example, docker run -p 80:8080 my-image will work because the port inside the container is 8080, and
docker run -p 80:81 my-image won't work because the port inside the container is 81.
By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell
commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers
with no shell.
Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect
to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.