About
Jotdown is an MCP server that lets large language models seamlessly create or update Notion pages and generate structured mdBook projects, enabling automated content management and publishing workflows.
Capabilities

Jotdown is an MCP server that bridges large language models with two powerful content platforms: Notion and mdBook. By exposing a small set of well‑defined tools, it lets an LLM generate, edit, and publish structured documents without leaving the conversational flow. This eliminates the need for manual copy‑paste or separate scripting, making content creation a seamless extension of the model’s reasoning process.
The server solves the common pain point of “transferring knowledge from an AI to a real‑world workspace.” Developers can now write prompts that directly create or update Notion pages, turning raw text into living documents in minutes. Simultaneously, the mdBook tool lets the same model compile an entire book—complete with chapters, navigation, and metadata—in a single interaction. This is especially useful for technical writers who need to produce documentation or tutorials that are automatically versioned and published.
Key capabilities include:
- Notion Integration: Create or update pages, set properties, and embed media using the Notion API. The tool handles authentication via an environment variable () and respects workspace permissions, ensuring secure operation.
- mdBook Generation: Accept structured content from the LLM and produce a fully‑functional mdBook directory. The server automatically generates , chapter files, and a , then runs the mdBook compiler so that the finished book is ready for hosting or further editing.
- Context‑aware Interaction: Leveraging MCP’s persistent context, the server remembers previous actions and can reference earlier pages or chapters, enabling multi‑step workflows such as “add a new chapter after the last one” without re‑specifying all details.
Real‑world use cases abound. A product manager could ask the model to draft a new feature spec, have it automatically appear in Notion for team review, and then generate a markdown guide that becomes part of the internal knowledge base. A technical author might let an LLM write a tutorial, publish it as a Notion page for quick feedback, and simultaneously produce an mdBook that can be pushed to GitHub Pages or a documentation site. In education, instructors could generate lecture notes in Notion and compile them into an e‑book for students—all orchestrated by a single conversational prompt.
Integration with AI workflows is straightforward: any MCP‑compatible client (Claude Desktop, Cline, Continue) can invoke the Jotdown server via its defined tools. The model simply calls or , passing JSON arguments that describe the content. The server then performs the API calls and returns a confirmation or error, allowing the model to adapt its next steps. This tight coupling removes context loss and ensures that content remains consistent across platforms.
In summary, Jotdown turns an LLM into a full‑fledged content creator and publisher. By unifying Notion’s collaborative workspace with mdBook’s structured publishing pipeline, it offers developers a powerful, context‑aware solution for automating documentation, knowledge bases, and e‑books—all through natural language interactions.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
NYT MCP Server
Unified gateway to New York Times APIs in one endpoint
Layered Code
AI‑Powered Conversational Development Engine
Snyk MCP Server
Secure your repos with Snyk via MCP
Weights & Biases MCP Server
Query W&B data with natural language via Model Context Protocol
Neo4j Agent Memory MCP Server
AI‑driven memory storage in a Neo4j knowledge graph
MCP TypeScript Simple Template
Quick-start MCP server with a sample BMI tool