An MCP (Model Context Protocol) server for generating Xmind mind maps. This server allows LLMs to create structured mind maps through the MCP protocol.
What is BangyiZhang xmind generator mcp
Xmind Generator MCP Server
An MCP (Model Context Protocol) server for generating Xmind mind maps. This server allows LLMs to create structured mind maps through the MCP protocol.
Features
- Generate Xmind mind maps with hierarchical topic structures
- Support for topic notes, labels, and markers
- Save mind maps to local files
- Easy integration with Claude Desktop and other MCP clients
Prerequisites
- Node.js: Version 18 or higher is required
- Xmind: Install Xmind desktop application to open and edit the generated mind maps
- Claude Desktop: Required to use this tool as an extension
Setup with Claude Desktop
Option 1: Using npx (Recommended)
-
Create or edit the Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{ "mcpServers": { "xmind-generator": { "command": "npx", "args": ["xmind-generator-mcp"], "env": { "outputPath": "/path/to/save/xmind/files", "autoOpenFile": "false" } } } }
-
Restart Claude Desktop
-
Start using the Xmind generator in your conversations
Option 2: Local Installation
-
Clone the repository:
git clone https://github.com/BangyiZhang/xmind-generator-mcp.git cd xmind-generator-mcp npm install npm run build
-
Create or edit the Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{ "mcpServers": { "xmind-generator": { "command": "node", "args": ["path/to/xmind-generator-mcp/dist/index.js"], "env": { "outputPath": "/path/to/save/xmind/files", "autoOpenFile": "false" } } } }
-
Replace
path/to/xmind-generator-mcp
with the actual path to your cloned project -
Restart Claude Desktop
-
Start using the Xmind generator in your conversations
Note: The env
section is optional. It allows you to set environment variables for the server:
outputPath
: Default directory or file path where Xmind files will be saved. This can be overridden by theoutputPath
parameter in the tool call.autoOpenFile
: Controls whether generated Xmind files are automatically opened after creation. Set to "false" to disable auto-opening (default is "true").
Available Tools
generate-mind-map
Generates an Xmind mind map from a hierarchical structure of topics.
Parameters:
title
(string): The title of the mind map (root topic)topics
(array): Array of topics to include in the mind maptitle
(string): The title of the topicref
(string, optional): Reference ID for the topicnote
(string, optional): Note for the topiclabels
(array of strings, optional): Labels for the topicmarkers
(array of strings, optional): Markers for the topic (format: "Category.name", e.g., "Arrow.refresh")children
(array, optional): Array of child topics
relationships
(array, optional): Array of relationships between topicsoutputPath
(string, optional): Custom output path for the Xmind file. This overrides the environment variable if set.
Example
Here's an example of how to use the generate-mind-map
tool:
{
"title": "Project Plan",
"topics": [
{
"title": "Research",
"ref": "topic:research",
"note": "Gather information about the market",
"children": [
{
"title": "Market Analysis",
"labels": ["Priority: High"]
},
{
"title": "Competitor Research",
"markers": ["Task.quarter"]
}
]
},
{
"title": "Development",
"children": [
{
"title": "Frontend",
"markers": ["Arrow.refresh"]
},
{
"title": "Backend"
}
]
}
]
}
License
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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