Presearch MCP Server

import { z } from "zod"; /** * Common Schemas for Tool Inputs */ // Basic search parameters export const SearchParamsSchema = z.object({ query: z.string().describe("The search query"), count: z .union([z.number(), z.string()]) .transform((val) => Number(val) || 20) .optional() .describe("Number of results to return (default: 20, max: 100)"), page: z .union([z.number(), z.string()]) .transform((val) => Number(val) || 1) .optional() .describe("Page number (default: 1)"), safesearch: z .enum(["strict", "moderate", "off"]) .optional() .describe("Safe search setting"), }); // Deep research parameters export const DeepResearchSchema = z.object({ query: z.string().describe("Research topic or question"), breadth: z .union([z.number(), z.string()]) .transform((val) => Number(val) || 4) .optional() .describe("Number of parallel search paths (2-10)"), depth: z .union([z.number(), z.string()]) .transform((val) => Number(val) || 2) .optional() .describe("Depth of recursive research (1-5)"), research_focus: z .enum(["general", "academic", "market", "technical", "news"]) .optional() .describe("Focus area for research"), location: z.string().optional().describe("Geographic context (e.g., 'US')"), }); // Scrape parameters export const ScrapeSchema = z.object({ urls: z .array(z.string()) .describe("List of URLs to scrape") .or(z.string().transform((val) => [val])), include_text: z .boolean() .optional() .describe("Include full text content (default: true)"), timeout_ms: z.number().optional().describe("Timeout in milliseconds"), }); // Analysis parameters export const AnalysisSchema = z.object({ content: z.string().describe("Text content to analyze"), include_quality_assessment: z .boolean() .optional() .describe("Include quality metrics"), custom_keywords: z.array(z.string()).optional().describe("Keywords to track"), });