Perplexity Agent MCP

import { z } from "zod"; import { performChatCompletion } from "../perplexity-client.js"; import { ANSWER_SYSTEM_PROMPT } from "../prompts.js"; import type { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; /** * Registers the answer tool with the MCP server. * Researches questions and provides recommendations backed by sources. */ export function registerAnswerTool(server: McpServer) { server.registerTool( "answer", { description: ` Researches a question, compares options, and recommends a path (backed by sources). Use for library choices, architecture trade-offs, migrations, complex debugging, and performance decisions. Returns a concise recommendation, a brief why, and short how-to steps. Examples: "Should I use Zod or Valibot?", "How to optimize React bundle size?", "Best auth approach for Node.js microservices?" One question per call—split combined requests into separate queries. `.trim(), inputSchema: { question: z.string().describe("The decision or problem to answer"), }, }, async ({ question }) => { const result = await performChatCompletion( [{ role: "user", content: question }], { model: "sonar-reasoning-pro", system: ANSWER_SYSTEM_PROMPT, searchContextSize: "high", }, ); return { content: [{ type: "text", text: result }] }; }, ); }