freeplane-mcp

freeplane-mcp

Enables AI agents to read and modify a running Freeplane mind map live via gRPC, with support for importing and exporting maps as JSON.

Category
Visit Server

README

freeplane-mcp

An MCP server that allows AI agents such as Claude Desktop, Cursor, and opencode to read and modify a running Freeplane mind map through the freeplane_plugin_grpc gRPC plugin.

Unlike one-shot “Markdown → image” MCP servers, changes are applied live to the currently opened Freeplane map.

Architecture

MCP client (Claude / Cursor / opencode)
        │
        │ stdio or Streamable HTTP (MCP SDK)
        ▼
freeplane-mcp (Python, FastMCP)
        │
        │ gRPC (grpcio)
        ▼
Freeplane + org.freeplane.plugin.grpc
(port 50051)

Requirements

  • Python 3.10+
  • Freeplane running with the gRPC plugin installed
  • Default Freeplane gRPC port: 50051

Installation

cd ~/spaces/freeplane-mcp
python -m venv .venv
.venv/bin/pip install -e .

Running

stdio

Default transport for Claude Desktop, Cursor, opencode, etc.:

.venv/bin/freeplane-mcp

Streamable HTTP

.venv/bin/freeplane-mcp --transport http --port 8000

Configuration

Environment variable CLI option Default
FREEPLANE_GRPC_HOST --grpc-host 127.0.0.1
FREEPLANE_GRPC_PORT --grpc-port 50051
FREEPLANE_GRPC_TIMEOUT 10
FREEPLANE_MCP_TRANSPORT --transport stdio
FREEPLANE_MCP_HOST --host 127.0.0.1
FREEPLANE_MCP_PORT --port 8000

MCP Tools

export_map

Exports the current map to canonical JSON.

Supported fields include:

text, id, children, note, detail, link, tags, icons, attributes, background_color, folded, and relationships.

import_map

Imports a mind map from canonical JSON.

Supported insert_mode values:

  • root — insert below the map root; default
  • node — insert below insert_node_id
  • selected — insert below the currently selected node

Testing

Export the current map:

.venv/bin/python -c "
import sys; sys.path.insert(0, '.')
from freeplane_mcp.freeplane_grpc import FreeplaneGrpcClient
c = FreeplaneGrpcClient()
print(c.export_map())
"

Import a map and export it again:

.venv/bin/python -c "
import sys; sys.path.insert(0, '.')
from freeplane_mcp.freeplane_grpc import FreeplaneGrpcClient
c = FreeplaneGrpcClient()
c.import_map('{\"text\": \"Hello from MCP\", \"children\": [{\"text\": \"child 1\"}]}')
print(c.export_map())
"

MCP Client Configuration

Example stdio configuration:

{
  "mcpServers": {
    "freeplane": {
      "command": "/home/bebebeka/spaces/freeplane-mcp/.venv/bin/freeplane-mcp"
    }
  }
}

HTTP configuration:

{
  "mcpServers": {
    "freeplane": {
      "url": "http://127.0.0.1:8000/mcp"
    }
  }
}

JSON Format Notes

The canonical JSON format is defined by the plugin's JsonHelper.java.

Import supports _fp_import_root_node:

{"_fp_import_root_node": "root", "mindmap": {...}}

inserts below the map root.

{"_fp_import_root_node": "ID_...", "mindmap": {...}}

inserts below a specific node.

Without the wrapper, the map is inserted below the currently selected node.

The legacy format is also supported:

{"node text": {"child node": "note"}}

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured