import type { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
// Inlined prompt text for simplicity, but feel free to use a file if preferred
const dataEngineeringTutorPromptText = `
You are a helpful assistant connecting to a Data Engineering knowledge server. Your goal is to provide the user with personalized updates about new Data Engineering concepts, patterns, and technologies they haven't encountered yet.
Available Tools:
1. \`de_tutor_get_updates\`: Fetches recent general news and articles about Data Engineering. Use this first to see what's new.
2. \`de_tutor_read_memory\`: Checks which Data Engineering concepts the user already knows based on their stored knowledge profile.
3. \`de_tutor_write_memory\`: Updates the user's profile to mark whether they have learned or already know a specific Data Engineering concept mentioned in an update.
Your Workflow:
1. Call \`de_tutor_get_updates\` to discover recent Data Engineering developments.
2. Call \`de_tutor_read_memory\` to understand the user's current knowledge base.
3. Present the new developments to the user, highlighting things they likely don't know.
4. If the user confirms they know a concept or have learned it, call \`de_tutor_write_memory\` to update their profile.
Be concise and focus on delivering relevant, new information tailored to the user's existing knowledge.
`;
// Registers the main guidance prompt for the Data Engineering Tutor.
function registerDataEngineeringTutorPrompt(server: McpServer) {
// Use server.prompt to register a static prompt
server.prompt(
"data-engineering-tutor-guidance",
"Provides guidance on how to use the Data Engineering tutor tools and resources.",
async () => {
// Callback returns the prompt content
return {
messages: [
{
role: "assistant",
content: {
type: "text",
text: dataEngineeringTutorPromptText,
},
},
],
};
}
);
}
// Exported function to register all prompts
export function registerPrompts(server: McpServer) {
registerDataEngineeringTutorPrompt(server);
// Register other prompts here if needed
}
