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MCP Server

@cabrit0

MCP Server について

概要はまだありません

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

ランタイム

python

トランスポート

stdio

公開者

cabrit0

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server?

MCP Server generates Master Content Plans (MCPs) based on a topic. It aggregates web resources and organizes them into structured learning paths, suitable for any subject.

How to use MCP Server?

Clone the repository, create a Python virtual environment, install dependencies (pip install -r requirements.txt and npm install), and install Chrome/Chromium for Pyppeteer. Start the server with uvicorn main:app --reload --host 0.0.0.0 --port 8000 or run the provided batch file. Generate an MCP via GET /generate_mcp?topic=your_topic. The production server is at https://reunemacacada.onrender.com.

Key features of MCP Server

  • Generates learning paths for any topic
  • Web search and scraping to find relevant resources
  • Customizable number of nodes and tree structure
  • Supports multiple languages, with focus on Portuguese
  • TF-IDF based resource relevance filtering
  • YouTube integration for video inclusion
  • Asynchronous task system with real-time progress
  • Caching system for faster repeated requests

Use cases of MCP Server

  • Generate a structured learning path for a programming language (e.g., Python)
  • Create a study plan for a historical topic (e.g., Brazilian history)
  • Build a learning tree for a non‑technology subject (e.g., finance, health)
  • Offload long‑running generation into async tasks to avoid timeouts
  • Cache and reuse results for frequently requested topics

FAQ from MCP Server

What is the purpose of MCP Server?

It creates Master Content Plans—structured learning paths—by aggregating web resources on any given topic.

What languages does MCP Server support?

It supports multiple languages; the default is Portuguese. You can specify the language via the language parameter.

How do I get started locally?

Clone the repo, install Python and Node.js dependencies, run the server with uvicorn or the batch file, then call the API endpoints.

What performance improvements does MCP Server offer?

Response times are reduced by 60–80% for cached topics and 30–50% for new topics. Memory usage decreases by 40–60%, and throughput increases 3–5x for simultaneous requests.

Is MCP Server open source or free?

No, it is proprietary software. All rights reserved, and it is intended for use under a paid subscription model only.

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