mindmapio-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mindmapio-mcpCreate a mind map about project risks and auto-expand each one."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mindmapio-mcp
Give your AI agent a place to build and keep what it learns. Connect it to mindmap.io and it turns research, plans, and conversations into a real map you can open, grow, and share. Your agent reads existing maps, adds and edits nodes, runs prompts on them, and fans any topic out into follow-up questions, all through your own mindmap.io account.
Two ways to set it up:
MCP server. One line in your MCP client config (Claude Desktop, Cursor, and other MCP clients).
Agent skill. Install it with
npx skillsso your agent works with mindmap.io directly, no MCP client needed.
Get a token
Every call uses a personal access token from your account.
Open mindmap.io, go to settings, then API access.
Generate a token and copy it. You only see it once.
Save it as
MINDMAP_API_TOKEN, or paste it into your MCP client config.
The token acts as you. Regenerate it any time and the old one stops working instantly.
Related MCP server: TheBrain MCP Server
Option 1: MCP server
Add this to your MCP client config. npx fetches and runs the package for you:
{
"mcpServers": {
"mindmapio": {
"command": "npx",
"args": ["-y", "mindmapio-mcp"],
"env": {
"MINDMAP_API_TOKEN": "<your personal access token>"
}
}
}
}Settings
Env var | Required | Default | What it does |
| yes | — | Your personal access token. Sent as |
| no |
| API base URL. |
What your agent can do
Tool | What it does |
| List your maps, newest first. |
| Read a whole map and its node tree. |
| Read one node. |
| Read a node and its children, as deep as you want. |
| Start a new map. |
| Delete a map and everything in it. |
| Add a node under a parent. |
| Edit a node's text, note, type, or model. |
| Remove a node and its children. |
| Run a node through the model and get the answer back. |
| Turn a node into follow-up questions for your agent to run. |
| Re-run a node that failed. |
| Stop a node that is still running. |
create_node mints a node id for you when you leave it out, so your agent can lay out a whole branch in one pass.
Option 2: agent skill
Install the skill with one command:
npx skills add MohGanji/mindmapio-mcpThis works with Claude Code and other agents that support skills (browse them at skills.sh). It teaches your agent the same actions over plain HTTP, including how to expand a node into follow-up questions and run each one. You can also read it directly at skills/mindmapio/SKILL.md.
Set your token first:
export MINDMAP_API_TOKEN="<your personal access token>"Hello world
Create a map, add a question, run it, and read the answer. With the MCP server, call the tools in order:
// 1. Create a map with a root node.
create_map { "title": "Hello", "data": { "rootId": "root",
"nodes": { "root": { "id": "root", "text": "Hello", "children": [] } } } }
// -> { "id": "MAP_ID" }
// 2. Add a question under the root.
create_node { "mapId": "MAP_ID", "nodeId": "q1", "parentId": "root",
"text": "Say hi in one word.", "nodeType": "prompt" }
// 3. Run it. The call waits until the answer is ready.
submit_node { "mapId": "MAP_ID", "nodeId": "q1" }
// -> { "nodeId": "q1", "status": "complete", "messages": [ ... ] }
// 4. Read it back.
get_node { "mapId": "MAP_ID", "nodeId": "q1" }The skill at skills/mindmapio/SKILL.md shows the same flow as curl commands.
Keep your token safe
Never commit your token. Keep it in your MCP client config or an environment variable.
It is sent only as the
Authorizationheader and is never logged. Config and error messages carry no secret.Treat it like a password. If it leaks, regenerate it in settings and the old one stops working right away.
Develop
npm install
npm test # vitest against a mocked HTTP layer, no live backend needed
npm run build # tsc -> dist/License
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