What is the required runtime environment?
Node.js v18 or later, npm, an MCP client, and an OpenRouter API key.
@scriptstar
Basic information
"Data Engineering Tutor," providing personalized updates about Data Engineering concepts, patterns, and technologies to a connected AI client.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"de-mcp-server": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Node.js v18 or later, npm, an MCP client, and an OpenRouter API key.
Use the example JSON configuration in the README, setting the command to `node` with the absolute path to `build/index.js`.
It stores known concepts as a simple JSON file at `data/data-engineering-knowledge.json`.
- `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.
Yes, use the MCP Inspector: `npx @modelcontextprotocol/inspector node ./build/index.js` (ensure `OPENROUTER_API_KEY` is set in the environment).

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