@turbot/tailpipe-mcp
Version:
Tailpipe MCP server to query cloud and security logs using AI.
42 lines • 1.55 kB
JavaScript
import { ListPromptsRequestSchema, GetPromptRequestSchema } from "@modelcontextprotocol/sdk/types.js";
import { logger } from '../services/logger.js';
// Register all available prompts
const prompts = [];
// Export prompts for server capabilities
export const promptCapabilities = {
prompts: Object.fromEntries(prompts.map(p => [p.name, {
name: p.name,
description: p.description
}]))
};
export function setupPromptHandlers(server) {
// Register prompt list handler
server.setRequestHandler(ListPromptsRequestSchema, async () => {
try {
return { prompts: Object.values(promptCapabilities.prompts) };
}
catch (error) {
// Log the error but don't fail - return default prompts
if (error instanceof Error) {
logger.error("Critical error listing prompts:", error.message);
}
else {
logger.error("Critical error listing prompts:", error);
}
// Return empty list on error
return { prompts: [] };
}
});
// Register prompt get handler
server.setRequestHandler(GetPromptRequestSchema, async (request) => {
const { name } = request.params;
// Find matching prompt
const prompt = prompts.find(p => p.name === name);
if (!prompt) {
throw new Error(`Unknown prompt: ${name}`);
}
// Handle the prompt request
return prompt.handler();
});
}
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