Mindmap MCP Server

What does “Mindmap” MCP Server do?

The Mindmap MCP Server is a Model Context Protocol (MCP) server designed to convert Markdown content into interactive mindmaps. Acting as a bridge between AI assistants and visualization tools, it enables users and developers to transform plain Markdown files into rich, interactive mindmap representations. This enhances workflows by making hierarchical information, ideas, or notes easier to explore and understand. The server is particularly useful for tasks that involve knowledge organization, content planning, or brainstorming, allowing AI clients to generate, visualize, and manipulate mindmaps dynamically as part of their development or research processes.

List of Prompts

No information on reusable prompt templates is provided in the repository.

List of Resources

No explicit list of MCP resources exposed by the server is documented in the repository.

List of Tools

No explicit list of tools provided by the Mindmap MCP Server is given in the repository or server.py.

Use Cases of this MCP Server

• Markdown to Mindmap Conversion
  Developers or users can instantly turn Markdown documents into interactive mindmaps, making hierarchical information visually accessible and easier to digest.
• Knowledge Visualization in AI Workflows
  AI agents can use the MCP server to render mindmaps of structured data, notes, or brainstorming sessions, aiding in knowledge management and discovery.
• Artifact Generation for Learning and Teaching
  Educators can use the server to create visual study aids from lecture notes, while students can organize their own notes into mindmaps for better retention.
• Technical Documentation Visualization
  Technical writers and engineers can convert technical documentation written in Markdown into mindmaps, enabling a high-level overview of complex systems or codebases.
• Content Planning and Outlining
  Writers, product managers, and teams can structure content plans or project outlines as mindmaps, making collaboration and iteration more visual and effective.

How to set it up

Windsurf

1. Install prerequisites:
   Ensure Node.js is installed.
2. Install Mindmap MCP Server:
   pip install mindmap-mcp-server or use uvx mindmap-mcp-server or Docker.
3. Edit Windsurf configuration:
   Locate the configuration file and add the MCP server.
4. Add Mindmap MCP Server:
   Insert this JSON snippet:

   {
     "mcpServers": {
       "mindmap": {
         "command": "uvx",
         "args": ["mindmap-mcp-server"]
       }
     }
   }
   

5. Restart Windsurf and verify setup.

Claude

1. Install prerequisites:
   Make sure Node.js is installed.
2. Install Mindmap MCP Server:
   Use pip, uvx, or Docker as above.
3. Edit Claude Desktop configuration:
   Open claude_desktop_config.json.
4. Add Mindmap MCP Server:

   {
     "mcpServers": {
       "mindmap": {
         "command": "uvx",
         "args": ["mindmap-mcp-server"]
       }
     }
   }
   

5. Restart Claude Desktop and check server availability.

Cursor

1. Ensure Node.js is installed.
2. Install Mindmap MCP Server using pip, uvx, or Docker.
3. Edit Cursor configuration to include the MCP server.
4. Add this configuration:

   {
     "mcpServers": {
       "mindmap": {
         "command": "uvx",
         "args": ["mindmap-mcp-server"]
       }
     }
   }
   

5. Restart Cursor and verify the Mindmap MCP server is active.

Cline

1. Install Node.js.
2. Install Mindmap MCP Server (see above install methods).
3. Edit Cline’s MCP configuration file.
4. Insert the following:

   {
     "mcpServers": {
       "mindmap": {
         "command": "uvx",
         "args": ["mindmap-mcp-server"]
       }
     }
   }
   

5. Save and restart Cline to enable the Mindmap MCP Server.

Securing API Keys

If using API keys, store them as environment variables and reference them in your configuration:

{
  "mcpServers": {
    "mindmap": {
      "command": "uvx",
      "args": ["mindmap-mcp-server"],
      "env": {
        "API_KEY": "${API_KEY}"
      },
      "inputs": {
        "api_key": "${API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "mindmap": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “mindmap” to your actual MCP server name and replace the URL with your own server URL.

Overview

Our opinion

The Mindmap MCP Server is focused and well-scoped for its purpose—turning Markdown into mindmaps—but lacks documentation on prompts, explicit tools, or resource endpoints. Its setup is standard for MCP servers and well-supported on various platforms. The project has a good license, some popularity, and clear use cases, but the lack of advanced MCP features or sample configurations limits its extensibility.

MCP Score

MCP Table Rating:
Given its clarity, popularity, and utility, but the lack of advanced MCP features (tools/resources/prompts/sampling/roots), I would rate this MCP at 5/10.