Markmap MCP Server

Overview

Markmap MCP Server bridges the gap between plain Markdown documentation and visual knowledge representation by converting text into interactive mind maps on demand. It leverages the open‑source markmap engine, wrapped in an MCP-compliant interface so that AI assistants such as Claude can invoke the conversion process with a single tool call. This eliminates the need for developers to manually run command‑line utilities or write custom scripts whenever they want a visual overview of their notes, API documentation, or brainstorming output.

The server exposes the markdown‑to‑mindmap tool, which accepts raw Markdown and returns a file path to the generated mind map. In addition, it supports optional automatic browser previewing and configurable output directories via environment variables or command‑line flags. The generated maps are fully interactive—nodes can be expanded, collapsed, and zoomed, providing a dynamic way to explore hierarchical information. Export capabilities include PNG, JPG, and SVG formats, enabling easy sharing or embedding in slides, wikis, or web pages.

For developers building AI‑enhanced workflows, this MCP server offers a plug‑and‑play solution. An AI assistant can ask the user to “visualize my project roadmap” and, with a single tool invocation, produce a ready‑to‑inspect mind map that the user can open in their browser or export to an image. The server’s lightweight Node.js implementation means it can run locally, on a CI pipeline, or as part of a serverless function, giving teams flexibility in how they integrate it.

Key use cases include:

• Documentation generation – automatically turning Markdown API docs into navigable diagrams.
• Meeting notes – converting conversational transcripts or agenda items into visual summaries for quick reference.
• Learning and tutoring – turning study material or lecture notes into mind maps that highlight relationships between concepts.
• Project planning – visualizing task hierarchies or feature trees derived from Markdown specifications.

What sets this MCP server apart is its seamless integration with AI assistants through the Model Context Protocol, eliminating friction between natural language prompts and concrete visual outputs. The ability to export in multiple image formats and open previews automatically further streamlines the developer experience, making it a valuable addition to any AI‑driven documentation or knowledge‑management pipeline.