Scira AI MCP Server

import { z } from "zod"; import { type InferSchema } from "xmcp"; import { headers } from "xmcp/headers"; export const schema = { query: z.string().describe("The query to search for"), }; export const metadata = { name: "search", description: "Search the web for information", annotations: { title: "Search the web for information", readOnlyHint: true, destructiveHint: false, idempotentHint: true, }, }; export default async function search({ query }: InferSchema<typeof schema>) { const headerlist = headers(); console.log(headerlist) console.log(headerlist["x-api-key"]) console.log(headerlist["Authorization"]) const apiKey = headerlist["x-api-key"] || (headerlist["Authorization"] as string).replace("Bearer ", "") as string; console.log(apiKey) const response = await fetch(`https://api.scira.ai/api/search`, { method: "POST", headers: { "Content-Type": "application/json", "x-api-key": apiKey as string, }, body: JSON.stringify({ messages: [ { role: "user", content: query } ] }) }) const data = await response.json(); console.log(data) return { content: [ { type: "text", text: data.text + "\n\nSources:\n" + data.sources.map((source: string) => source) } ], }; }