What mind map types are available?
The server provides six types: `apresenta` (presentation), `compara` (comparison), `inicial` (initial knowledge), `intermediario` (intermediate knowledge), `problemas` (problem analysis), and `revisa` (revision).
@marioluciofjr
Basic information
Repositório com um MCP-Server simples com seis tipos de mapas mentais diferentes.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mapas_mentais_mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@marioluciofjr/mapas_mentais_mcp",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
It is a Python-based MCP server that generates automated mind maps to help study, review, compare, and present topics. Designed for students, teachers, and professionals, it integrates with Claude Desktop and uses the FastMCP library and the Model Context Protocol.
Install via Smithery (npx -y @smithery/cli install @marioluciofjr/mapas_mentais_mcp --client claude) or set up manually by adding a "mapas_mentais" entry to the claude_desktop_config.json file with uv pointing to the project directory. Once configured, invoke tools such as apresenta, compara, inicial, intermediario, problemas, and revisa through Claude Desktop.
The server provides six types: `apresenta` (presentation), `compara` (comparison), `inicial` (initial knowledge), `intermediario` (intermediate knowledge), `problemas` (problem analysis), and `revisa` (revision).
Python 3.10 or higher, the `uv` package, and Claude Desktop must be installed.
You can use the Smithery CLI command (`npx -y @smithery/cli install @marioluciofjr/mapas_mentais_mcp --client claude`) or manually add a JSON configuration entry pointing `uv` to your project folder in `claude_desktop_config.json`.
Yes, it is licensed under the MIT License.
The official GitHub repository contains the full source code, documentation, and contribution guidelines. Contact the author via LinkedIn, email, or the project website.
🚀 The fast, Pythonic way to build MCP servers and clients.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
Comments