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clado-ai

Clado MCP Server

Official
by clado-ai
index.ts1.96 kB
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import type { Server } from "@modelcontextprotocol/sdk/server/index.js"; import { z } from "zod"; import { searchForUsersName, searchForUsersDescription, searchForUsersSchema, searchForUsersTool } from "./tools/search-for-users.js"; import { enrichLinkedinName, enrichLinkedinDescription, enrichLinkedinSchema, enrichLinkedinTool } from "./tools/enrich-linkedin.js"; import { retrieveContactsName, retrieveContactsDescription, retrieveContactsSchema, retrieveContactsTool } from "./tools/retrieve-contacts.js"; import { scrapeLinkedinName, scrapeLinkedinDescription, scrapeLinkedinSchema, scrapeLinkedinTool } from "./tools/scrape-linkedin.js"; import { linkedinPostReactionsName, linkedinPostReactionsDescription, linkedinPostReactionsSchema, linkedinPostReactionsTool } from "./tools/linkedin-post-reactions.js"; export const configSchema = z.object({ cladoApiKey: z.string().describe("Clado API key for authentication"), }); export default function createServer({ config }: { config?: z.infer<typeof configSchema> }): Server { if (config?.cladoApiKey) { process.env.CLADO_API_KEY = config.cladoApiKey; } const server = new McpServer({ name: "clado", version: "1.0.34", }); server.tool( searchForUsersName, searchForUsersDescription, searchForUsersSchema, searchForUsersTool ); server.tool( enrichLinkedinName, enrichLinkedinDescription, enrichLinkedinSchema, enrichLinkedinTool ); server.tool( retrieveContactsName, retrieveContactsDescription, retrieveContactsSchema, retrieveContactsTool ); server.tool( scrapeLinkedinName, scrapeLinkedinDescription, scrapeLinkedinSchema, scrapeLinkedinTool ); server.tool( linkedinPostReactionsName, linkedinPostReactionsDescription, linkedinPostReactionsSchema, linkedinPostReactionsTool ); return server.server; }

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