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🚀 Introducing Mapify MCP Server

Meet Mapify MCP Server—the official open-source implementation of the Model Context Protocol (MCP), enabling AI assistants to generate anything to mind maps.
J
Joni Wu2025.06.20

TL;DR: Mapify MCP Server is the official open-source implementation of the Model Context Protocol (MCP), enabling AI assistants like Claude, GPT-4o, and VS Code Agents to generate mind maps from YouTube videos, PDFs, webpages, emails, and more — all in seconds.


🎯Why We Built It

Mapify is a cross-platform AI mind map product trusted by over 4 million users globally. To date, users have generated more than 11 million mind maps across education, productivity, research, content creation, and team collaboration.

As our user base grew, we heard one common question:

“Can I just ask Claude to create a mind map for me?”

Most AI assistants are great at generating unstructured text — but fall short when it comes to organizing thoughts, showing structure, and creating visuals.

So we built Mapify MCP Server: a new protocol-powered engine that connects AI assistants to Mapify, making it possible to generate structured, editable, and shareable mind maps with a single prompt.

It’s the missing visual brain for your AI workflow.


❓What Is Mapify?

Mapify is the leading AI mind map summarizer, helping users convert long-form, complex content into structured mind maps in seconds.

Mapify supports input from:

  • 📄 PDFs, Word Docs, Google Docs
  • 📹 YouTube videos
  • 🌐 URLs, articles, blog posts
  • ✉️ Long emails and meeting transcripts
  • 🔍 AI-generated or search-based topics

Each map is powered by the world’s top LLMs — including GPT-4o, Claude 3.5, and others — and supports editing, sharing, exporting, and collaborating.

  • Used by students, teachers, creators, PMs, and knowledge workers
  • 11M+ mind maps created since launch
  • #3 Product of the Day on Product Hunt

🔧 What Is MCP?

Model Context Protocol (MCP) is an open standard from Anthropic that allows large language models (LLMs) to securely and reliably connect with external tools and services.

MCP gives AI models the ability to:

  • 🔌 Call external APIs and services
  • 📁 Access files, URLs, and structured content
  • 🛠️ Trigger actions like summarization, visualization, or file generation

In short, MCP is HTTP for AI agents — enabling intelligent tools to connect, compose, and interact with real-world data. Mapify MCP Server is an official implementation of this protocol, purpose-built for mind map generation.


🤔 What Can Mapify MCP Server Do?

Using Claude Desktop, VS Code Agents, or any MCP-compatible assistant, you can now:

  • Create mind maps from text prompts
  • Summarize YouTube videos into structured visuals
  • Convert PDFs, Docs, and PPTs into organized mind maps
  • Map out article content or any public URL
  • Turn AI-generated research or search results into a visual structure
  • Digest meeting notes, interviews, and long emails into nodes

Each output includes:

  • High-res image of the mind map
  • Editable Mapify link (continue editing, sharing, exporting)

Works fully in the background — no manual UI work needed.


🌍 Multimodal, Multilingual, and Agent-Ready

Mapify MCP Server is more than a backend — it’s a capability layer for intelligent agents.

✅ 30+ Languages Supported: English, 中文, 日本語, Español, Français, Deutsch, and more

✅ Web Access: Ingest and summarize real-time content via AI browsing or links

✅ AI Chat Control: Edit maps by chatting with an agent

✅ Text-to-Image Integration: Add AI-generated visuals to branches


🛠️ How to Get Started in 3 Minutes

📚 Full instructions available on GitHub →

  1. Sign up at mapify.so
  2. Go to Settings → Generate API Key
  3. Configure Claude Desktop or any compatible MCP tool with this config:
{
  "mcpServers": {
    "mapify": {
      "command": "npx",
      "args": ["-y", "@xmindltd/mapify-mcp-server"],
      "env": {
        "MAPIFY_API_KEY": "your_api_key_here"
      }
    }
  }
}

Then prompt your agent:

Create a mind map about \"The Impact of Generative AI on Education\"

And you’re done.


🔍 Example Use Cases

🎓 Students: Instantly summarize a textbook chapter into a reviewable structure.

🧑‍🏫 Teachers: Break down history, science, or literature topics into visual formats.

💼 Product Managers: Structure user feedback, specs, and roadmaps for faster decision-making.

📊 Analysts: Convert dense reports and market research into visual strategy maps.

🎥 Creators: Generate article outlines from interviews, videos, or podcasts.


📂 Fully Open Source

Mapify MCP Server is open-source, extensible, and ready to integrate with your local tools or private agents.

🔗 GitHub Repository →

What’s included:

  • MCP-compliant API routes (/map, /share, /preview)
  • Claude + VS Code sample configurations
  • Command line interface (CLI)
  • Self-hosting and deployment docs

🔮 Coming Soon

  • 🧩 Plugin SDKs for Claude, GPT, and other assistants
  • 🧠 Agent support for autonomous mapping workflows
  • ⏱️ Scheduled and batch mind map generation
  • 📊 Visual analytics and interaction heatmaps

💡 Final Thought

Don’t just make your AI faster — make it visual. Mapify + MCP gives your AI a visual brain.

Try it now → mapify.so | Open source → GitHub

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