MCP-Server para gerar ideias de conteúdos

What is MCP-Server para gerar ideias de conteúdos?

This MCP server helps organize ideas for posts and videos. It generates a structured list containing one main theme, five subtopics, and three micro-topics for each subtopic. It also reads an example file that demonstrates the structure in practice. Built with FastMCP, it follows the Model Context Protocol (MCP) from Anthropic.

How to use MCP-Server para gerar ideias de conteúdos?

Install Python 3.10 or higher, the uv package, and Claude Desktop. Create a project folder with uv init, activate a virtual environment, add the dependency mcp[cli], and create a server.py file. Then configure the claude_desktop_config.json file with the provided JSON entry using uv run server.py. The tool appears in Claude Desktop under the name subtemas.

Key features of MCP-Server para gerar ideias de conteúdos

• Generates a content matrix with main theme, subtopics, and micro-topics.
• Built with FastMCP following official MCP guidelines.
• Reads an example file showing the output structure.
• Simple installation and configuration for Claude Desktop.
• Uses Python 3.10+ and the uv package manager.

Use cases of MCP-Server para gerar ideias de conteúdos

• Planning structured content calendars for social media posts.
• Generating a deep topic hierarchy for video series or blog articles.
• Organizing brainstorming sessions into a clear, expandable outline.
• Quickly producing varied content ideas from a single core theme.

FAQ from MCP-Server para gerar ideias de conteúdos

What are the dependencies and runtime requirements?

Python 3.10 or higher, the uv package, and Claude Desktop are required.

How do I install and configure the server?

Follow the step‑by‑step instructions: create a project folder, run uv init, activate the virtual environment, add mcp[cli], create server.py, and add a JSON entry to claude_desktop_config.json pointing to your directory and the server.py file.

What is the tool called inside Claude Desktop?

The tool is named subtemas.

What kind of output does the server produce?

It generates a structured list: one main theme, five subtopics, and three micro‑topics for each subtopic.

Who maintains this project?

Mário Lúcio (Prazo Certo). Contributions are welcome via forking the repository.