feat: add Exa AI-powered search tool (#266)
Adds Exa as an AI search integration for content research, competitor discovery, link prospecting, news monitoring, and audience research. - CLI (tools/clis/exa.js): zero-dep Node.js wrapper for /search, /findSimilar, and /contents with neural/auto/fast/deep search types, category + domain + text + date filtering, and composable content retrieval (text, highlights, summary) in a single request - Integration guide (tools/integrations/exa.md): auth, endpoints, common agent operations, parameters, and linked skills - Registry entry under new 'AI Search' category + MCP-enabled list - Uses EXA_API_KEY env var with --dry-run support and masked credentials
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Executable
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#!/usr/bin/env node
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const API_KEY = process.env.EXA_API_KEY
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const BASE_URL = 'https://api.exa.ai'
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if (!API_KEY) {
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console.error(JSON.stringify({ error: 'EXA_API_KEY environment variable required' }))
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process.exit(1)
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}
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async function api(method, path, body) {
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if (args['dry-run']) {
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return { _dry_run: true, method, url: `${BASE_URL}${path}`, headers: { 'x-api-key': '***', 'Content-Type': 'application/json', 'x-exa-integration': 'marketingskills' }, body: body || undefined }
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}
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const res = await fetch(`${BASE_URL}${path}`, {
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method,
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headers: {
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'x-api-key': API_KEY,
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'Content-Type': 'application/json',
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'x-exa-integration': 'marketingskills',
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},
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body: body ? JSON.stringify(body) : undefined,
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})
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const text = await res.text()
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try {
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return JSON.parse(text)
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} catch {
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return { status: res.status, body: text }
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}
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}
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function parseArgs(args) {
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const result = { _: [] }
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for (let i = 0; i < args.length; i++) {
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const arg = args[i]
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if (arg.startsWith('--')) {
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const key = arg.slice(2)
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const next = args[i + 1]
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if (next && !next.startsWith('--')) {
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result[key] = next
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i++
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} else {
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result[key] = true
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}
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} else {
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result._.push(arg)
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}
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}
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return result
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}
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function buildContents(args) {
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const contents = {}
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if (args.text) {
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contents.text = args['max-chars']
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? { maxCharacters: Number(args['max-chars']) }
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: true
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}
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if (args.highlights) {
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contents.highlights = args['highlight-query']
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? { query: args['highlight-query'] }
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: true
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}
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if (args.summary) {
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contents.summary = args['summary-query']
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? { query: args['summary-query'] }
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: {}
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}
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return Object.keys(contents).length ? contents : null
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}
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const args = parseArgs(process.argv.slice(2))
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const [cmd, ...rest] = args._
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async function main() {
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let result
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switch (cmd) {
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case 'search': {
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const query = args.query || rest.join(' ')
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if (!query) { result = { error: '--query required' }; break }
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const body = { query }
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if (args.type) body.type = args.type
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if (args.num) body.numResults = Number(args.num)
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if (args.category) body.category = args.category
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if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
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if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
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if (args['include-text']) body.includeText = args['include-text'].split(',').map(s => s.trim())
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if (args['exclude-text']) body.excludeText = args['exclude-text'].split(',').map(s => s.trim())
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if (args['start-published']) body.startPublishedDate = args['start-published']
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if (args['end-published']) body.endPublishedDate = args['end-published']
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if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
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if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
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if (args['user-location']) body.userLocation = args['user-location']
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const contents = buildContents(args)
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if (contents) body.contents = contents
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result = await api('POST', '/search', body)
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break
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}
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case 'find-similar': {
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const url = args.url
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if (!url) { result = { error: '--url required' }; break }
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const body = { url }
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if (args.num) body.numResults = Number(args.num)
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if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
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if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
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if (args['start-published']) body.startPublishedDate = args['start-published']
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if (args['end-published']) body.endPublishedDate = args['end-published']
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if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
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if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
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const contents = buildContents(args)
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if (contents) body.contents = contents
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result = await api('POST', '/findSimilar', body)
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break
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}
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case 'contents': {
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const urls = args.urls?.split(',').map(s => s.trim())
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if (!urls || !urls.length) { result = { error: '--urls required (comma-separated)' }; break }
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const body = { urls }
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const contents = buildContents(args)
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if (contents) Object.assign(body, contents)
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else body.text = true
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result = await api('POST', '/contents', body)
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break
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}
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default:
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result = {
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error: 'Unknown command',
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usage: {
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search: 'search --query <q> [--type neural|fast|auto|deep-lite|deep|deep-reasoning|instant] [--num <n>] [--category company|research paper|news|personal site|financial report|people] [--include-domains <d1,d2>] [--exclude-domains <d1,d2>] [--include-text <phrases>] [--exclude-text <phrases>] [--start-published <ISO>] [--end-published <ISO>] [--user-location <CC>] [--text] [--highlights] [--summary] [--max-chars <n>] [--highlight-query <q>] [--summary-query <q>]',
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'find-similar': 'find-similar --url <url> [--num <n>] [--include-domains <d1,d2>] [--exclude-domains <d1,d2>] [--start-published <ISO>] [--end-published <ISO>] [--text] [--highlights] [--summary]',
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contents: 'contents --urls <url1,url2> [--text] [--highlights] [--summary] [--max-chars <n>] [--highlight-query <q>] [--summary-query <q>]',
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options: '--dry-run (preview request without sending)',
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}
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}
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}
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console.log(JSON.stringify(result, null, 2))
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}
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main().catch(err => {
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console.error(JSON.stringify({ error: err.message }))
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process.exit(1)
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})
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