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exa-mcp-server

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A Model Context Protocol server with Exa for web search, academic paper search, and Twitter/X.com search. Provides real-time web searches with configurable tool selection, allowing users to enable or disable specific search capabilities. Supports customiz

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import { z } from "zod"; import axios from "axios"; import { toolRegistry, API_CONFIG } from "./config.js"; import { createRequestLogger } from "../utils/logger.js"; // Register the Twitter search tool toolRegistry["twitter_search"] = { name: "twitter_search", description: "Search Twitter/X.com posts and accounts using Exa AI - performs targeted searches of Twitter (X.com) content including tweets, profiles, and discussions. Returns relevant tweets, profile information, and conversation threads based on your query. You can search for a user by x.com/username or from:username", schema: { query: z.string().describe("Twitter username, hashtag, or search term (e.g., 'x.com/username' or search term)"), numResults: z.number().optional().describe("Number of Twitter results to return (default: 5)"), startPublishedDate: z.string().optional().describe("Optional ISO date string (e.g., '2023-04-01T00:00:00.000Z') to filter tweets published after this date. Use only when necessary."), endPublishedDate: z.string().optional().describe("Optional ISO date string (e.g., '2023-04-30T23:59:59.999Z') to filter tweets published before this date. Use only when necessary.") }, handler: async ({ query, numResults, startPublishedDate, endPublishedDate }, extra) => { const requestId = `twitter_search-${Date.now()}-${Math.random().toString(36).substring(2, 7)}`; const logger = createRequestLogger(requestId, 'twitter_search'); logger.start(query); try { // Create a fresh axios instance for each request const axiosInstance = axios.create({ baseURL: API_CONFIG.BASE_URL, headers: { 'accept': 'application/json', 'content-type': 'application/json', 'x-api-key': process.env.EXA_API_KEY || '' }, timeout: 25000 }); const searchRequest = { query, includeDomains: ["x.com", "twitter.com"], type: "auto", numResults: numResults || API_CONFIG.DEFAULT_NUM_RESULTS, contents: { text: { maxCharacters: API_CONFIG.DEFAULT_MAX_CHARACTERS }, livecrawl: 'always' } }; // Add date filters only if they're provided if (startPublishedDate) { searchRequest.startPublishedDate = startPublishedDate; logger.log(`Filtering tweets after: ${startPublishedDate}`); } if (endPublishedDate) { searchRequest.endPublishedDate = endPublishedDate; logger.log(`Filtering tweets before: ${endPublishedDate}`); } logger.log("Sending Twitter search request to Exa API"); const response = await axiosInstance.post(API_CONFIG.ENDPOINTS.SEARCH, searchRequest, { timeout: 25000 }); logger.log("Received Twitter search response from Exa API"); if (!response.data || !response.data.results) { logger.log("Warning: Empty or invalid response from Exa API for Twitter search"); return { content: [{ type: "text", text: "No Twitter results found. Please try a different query." }] }; } logger.log(`Found ${response.data.results.length} Twitter results`); const result = { content: [{ type: "text", text: JSON.stringify(response.data, null, 2) }] }; logger.complete(); return result; } catch (error) { logger.error(error); if (axios.isAxiosError(error)) { // Handle Axios errors specifically const statusCode = error.response?.status || 'unknown'; const errorMessage = error.response?.data?.message || error.message; logger.log(`Axios error (${statusCode}): ${errorMessage}`); return { content: [{ type: "text", text: `Twitter search error (${statusCode}): ${errorMessage}` }], isError: true, }; } // Handle generic errors return { content: [{ type: "text", text: `Twitter search error: ${error instanceof Error ? error.message : String(error)}` }], isError: true, }; } }, enabled: false // disabled by default };