About
A lightweight MCP server that bridges AI tools with the Notion API, fetching pages and rendering them as efficient Markdown while preserving rich text formatting.
Capabilities
Simple Notion MCP Server
The Simple Notion MCP Server bridges AI assistants with the Notion API, providing a lightweight and efficient way to fetch and consume Notion content. Traditional MCP servers for Notion return raw JSON that can be bulky and difficult for large language models to parse. This server instead transforms every page into clean, well‑structured Markdown, dramatically reducing payload size while preserving the visual formatting that users expect.
By rendering pages as Markdown, developers can feed concise, human‑readable text directly into LLMs. This improves token usage, speeds up inference, and makes it easier to build chat‑based tools that pull in documentation or knowledge bases from Notion. The server’s primary tool, , accepts a page ID and returns the full Markdown representation, including nested blocks and rich text styles such as bold, italic, strikethrough, and inline code.
Key features include:
- Markdown rendering of arbitrary Notion pages with recursive block traversal.
- Rich text preservation, ensuring that formatting is retained in the output.
- Simple environment‑variable configuration for secure API token management.
- Compatibility with any MCP‑enabled client, from VS Code extensions to Claude or other assistants.
Typical use cases involve building conversational agents that answer questions based on company documentation, creating dynamic FAQ bots, or integrating Notion‑based workflows into custom tooling. Because the output is a plain Markdown string, developers can easily pipe it through other text‑processing pipelines or feed it into LLM prompts without additional transformation steps.
The server’s lightweight design offers a distinct advantage: fewer moving parts mean lower latency and easier maintenance. It also opens the door to future enhancements, such as image embedding or write‑back capabilities, while keeping the current implementation straightforward and developer‑friendly.
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