Clado MCP Server

import { z } from "zod"; import { makeCladoRequest } from "../utils.js"; export const searchForUsersName = "search_for_users"; export const searchForUsersDescription = "Search for users on Clado using filters like query, school, and match threshold."; export const searchForUsersSchema = { query: z.string().describe("Natural language search query to find LinkedIn profiles"), limit: z.number().min(1).max(100).default(30).describe("Maximum number of profiles to return (1–100)"), schools: z.array(z.string()).optional().describe("List of school names to filter results by, e.g., ['Stanford', 'MIT']"), companies: z.array(z.string()).optional().describe("List of company names to filter results by"), advanced_filtering: z .boolean() .default(true) .describe("Enable AI agent-based filtering to improve result quality"), search_id: z.string().uuid().optional().describe("ID from previous search for pagination"), offset: z.number().min(0).default(0).optional().describe("Number of results to skip for pagination"), }; type SearchForUsersParams = { query: string; limit?: number; schools?: string[]; companies?: string[]; advanced_filtering?: boolean; search_id?: string; offset?: number; }; export const searchForUsersTool = async ({ query, limit = 30, schools, companies, advanced_filtering = true, search_id, offset = 0, }: SearchForUsersParams) => { const url = new URL("https://search.clado.ai/api/search"); url.searchParams.append("query", query); url.searchParams.append("limit", String(Math.min(limit, 100))); url.searchParams.append("advanced_filtering", String(advanced_filtering)); if (offset > 0) { url.searchParams.append("offset", String(offset)); } if (search_id) { url.searchParams.append("search_id", search_id); } if (schools && schools.length > 0) { schools.forEach((s: string) => url.searchParams.append("schools", s)); } if (companies && companies.length > 0) { companies.forEach((c: string) => url.searchParams.append("companies", c)); } const response = await makeCladoRequest(url.toString(), {}); const responseData = await response.json(); if (responseData.error) { throw new Error( `Failed to search for users: ${JSON.stringify(responseData.error)}` ); } return { content: [ { type: "text" as const, text: `Search completed successfully: ${JSON.stringify(responseData, null, 2)}` } ] }; };