What is the main modification of this fork?
The primary modification is the replacement of the transport mechanism from Stdio to Server-Sent Events (SSE).
@ContexaAI
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"notionApi": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"OPENAPI_MCP_HEADERS",
"mcp/notion"
],
"env": {
"OPENAPI_MCP_HEADERS": "{\"Authorization\":\"Bearer ntn_****\",\"Notion-Version\":\"2022-06-28\"}"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
This project implements an MCP server for the Notion API. It is a fork of the official Notion MCP server that replaces the Stdio transport with Server-Sent Events (SSE). It allows AI assistants to interact with Notion pages, databases, and comments using natural language commands.
Install and configure the server by setting up an internal Notion Integration, copying the integration token, and adding the MCP configuration to your client (e.g., .cursor/mcp.json or claude_desktop_config.json). You can run it via npx or Docker, providing the token and Notion version in the OPENAPI_MCP_HEADERS environment variable. Then instruct your AI to perform actions like commenting or creating pages.
The primary modification is the replacement of the transport mechanism from Stdio to Server-Sent Events (SSE).
Go to https://www.notion.so/profile/integrations, create a new internal integration, and copy the token from the Configuration tab.
No. The scope of the Notion API exposed is limited; for example, you will not be able to delete databases via MCP. There is a non-zero risk to workspace data, so consider creating a read-only integration token.
Add the appropriate block to your client’s config file (e.g., `.cursor/mcp.json` or `claude_desktop_config.json`) using either `npx` or Docker, with your integration token and Notion version in the `OPENAPI_MCP_HEADERS` variable.
It requires Node.js (for `npx`) or Docker. The Docker image can be pulled from Docker Hub or built locally using the provided `docker-compose` file.

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