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Data Engineering Tutor MCP Server

@scriptstar

Data Engineering Tutor MCP Server について

"Data Engineering Tutor," providing personalized updates about Data Engineering concepts, patterns, and technologies to a connected AI client.

基本情報

カテゴリ

データと分析

ランタイム

node

トランスポート

stdio

公開者

scriptstar

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "de-mcp-server": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

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 Data Engineering Tutor MCP Server?

It is a Node.js and TypeScript Model Context Protocol (MCP) server that acts as a "Data Engineering Tutor," delivering personalized updates about Data Engineering concepts, patterns, and technologies to a connected AI client. It demonstrates MCP Resources, Tools, and Prompts to create a stateful, interactive agent helper.

How to use Data Engineering Tutor MCP Server?

Install dependencies with npm install, build with npm run build, and run with node build/index.js. Requires an OpenRouter API key set in a .env file. Configure your MCP client (e.g., Claude Desktop or Cursor) to launch the server using the provided JSON configuration.

Key features of Data Engineering Tutor MCP Server

  • Provides a data engineering knowledge memory resource.
  • Includes tools to read and write known concepts from memory.
  • Fetches recent Data Engineering news via OpenRouter and Perplexity.
  • Offers a guidance prompt for AI client workflow.
  • Implements stateful, interactive agent capabilities.
  • Compatible with MCP clients like Cursor and Claude Desktop.

Use cases of Data Engineering Tutor MCP Server

  • An AI assistant can fetch latest Data Engineering trends and present them to a user.
  • The assistant can maintain a user's knowledge profile about Data Engineering concepts.
  • The assistant can tailor updates based on what the user already knows.

FAQ from Data Engineering Tutor MCP Server

What is the required runtime environment?

Node.js v18 or later, npm, an MCP client, and an OpenRouter API key.

How do I configure the server with Claude Desktop?

Use the example JSON configuration in the README, setting the command to node with the absolute path to build/index.js.

How does the server store user knowledge?

It stores known concepts as a simple JSON file at data/data-engineering-knowledge.json.

What tools are available?

  • de_tutor_read_memory: reads known concepts.
  • de_tutor_write_memory: updates memory with a concept and boolean.
  • de_tutor_get_updates: fetches recent Data Engineering updates.

Can I inspect raw MCP messages?

Yes, use the MCP Inspector: npx @modelcontextprotocol/inspector node ./build/index.js (ensure OPENROUTER_API_KEY is set in the environment).

コメント

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