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Xmind Generator MCP Server

MCP Server

Create structured Xmind mind maps with LLMs

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Updated 16 days ago

About

An MCP server that generates Xmind mind maps from hierarchical topic structures, supporting notes, labels, markers and file export for easy integration with Claude Desktop.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Xmind Generator MCP Server

The Xmind Generator MCP Server bridges the gap between conversational AI and visual knowledge organization. By exposing a dedicated tool over the Model Context Protocol, it allows large language models—such as Claude—to transform natural‑language descriptions or structured data into fully fledged Xmind mind maps. This solves a common pain point for developers and knowledge workers: the need to quickly convert textual plans, brainstorming sessions, or hierarchical data into a visual format that can be shared, edited, and explored in a desktop mind‑mapping application.

What the Server Does

When an AI assistant receives a request to generate a mind map, it invokes the tool defined by this server. The assistant supplies a JSON payload that describes the map’s title, topics, notes, labels, markers, and relationships. The server then serializes this structure into an Xmind file (), writes it to disk, and optionally opens the file in the installed Xmind desktop client. This workflow turns a purely textual conversation into an interactive visual artifact without leaving the chat interface, saving time and reducing cognitive load.

Key Features in Plain Language

  • Hierarchical Topic Support – Every node can contain nested children, allowing complex structures to be represented naturally.
  • Metadata Rich Topics – Notes, labels, and markers can be attached to any node, giving context such as priorities or status flags.
  • Custom Output Paths – Developers can set a default folder via environment variables or override it per call, keeping projects organized.
  • Auto‑Open Control – A simple flag determines whether the generated file launches automatically, giving users flexibility in their workflow.
  • Relationship Mapping – Optional relationships between topics enable cross‑linking, useful for showing dependencies or connections that aren’t strictly hierarchical.

Use Cases and Real‑World Scenarios

  • Project Planning – Convert a project charter or sprint backlog into a mind map that stakeholders can review in Xmind.
  • Brainstorming Sessions – Capture ideas discussed during a chat and instantly generate a visual map for later refinement.
  • Documentation Generation – Transform API specifications or architectural diagrams described in text into a navigable mind map.
  • Educational Material – Teachers can ask an assistant to outline lesson plans, producing mind maps that students can interact with.
  • Personal Knowledge Management – Individuals can maintain a living knowledge base where notes and concepts are automatically visualized.

Integration with AI Workflows

The server fits seamlessly into any MCP‑enabled client. After configuration, a developer simply references the tool in a prompt or allows the assistant to decide when to call it. The JSON schema is explicit, so developers can programmatically construct topic trees from existing data structures (e.g., JSON APIs or database queries) and pass them to the tool. Because the output is a standard Xmind file, downstream processes—such as version control, sharing via cloud storage, or embedding in documentation—remain straightforward.

Unique Advantages

Unlike generic diagram generators, this MCP server is tightly coupled with Xmind’s native format, ensuring that every feature—labels, markers, relationships—is preserved without loss. The ability to open files automatically streamlines the transition from conversation to visual review, a step often missing in other tools. Moreover, by exposing all configuration through environment variables and tool parameters, developers gain fine‑grained control over file locations and user experience without modifying code. This combination of native compatibility, rich metadata support, and workflow flexibility makes the Xmind Generator MCP Server a powerful addition to any AI‑powered development toolkit.