Files
marketingskills/tools/clis/exa.js
T
Teo 4b37de5228 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
2026-05-18 14:05:40 -07:00

148 lines
5.5 KiB
JavaScript
Executable File

#!/usr/bin/env node
const API_KEY = process.env.EXA_API_KEY
const BASE_URL = 'https://api.exa.ai'
if (!API_KEY) {
console.error(JSON.stringify({ error: 'EXA_API_KEY environment variable required' }))
process.exit(1)
}
async function api(method, path, body) {
if (args['dry-run']) {
return { _dry_run: true, method, url: `${BASE_URL}${path}`, headers: { 'x-api-key': '***', 'Content-Type': 'application/json', 'x-exa-integration': 'marketingskills' }, body: body || undefined }
}
const res = await fetch(`${BASE_URL}${path}`, {
method,
headers: {
'x-api-key': API_KEY,
'Content-Type': 'application/json',
'x-exa-integration': 'marketingskills',
},
body: body ? JSON.stringify(body) : undefined,
})
const text = await res.text()
try {
return JSON.parse(text)
} catch {
return { status: res.status, body: text }
}
}
function parseArgs(args) {
const result = { _: [] }
for (let i = 0; i < args.length; i++) {
const arg = args[i]
if (arg.startsWith('--')) {
const key = arg.slice(2)
const next = args[i + 1]
if (next && !next.startsWith('--')) {
result[key] = next
i++
} else {
result[key] = true
}
} else {
result._.push(arg)
}
}
return result
}
function buildContents(args) {
const contents = {}
if (args.text) {
contents.text = args['max-chars']
? { maxCharacters: Number(args['max-chars']) }
: true
}
if (args.highlights) {
contents.highlights = args['highlight-query']
? { query: args['highlight-query'] }
: true
}
if (args.summary) {
contents.summary = args['summary-query']
? { query: args['summary-query'] }
: {}
}
return Object.keys(contents).length ? contents : null
}
const args = parseArgs(process.argv.slice(2))
const [cmd, ...rest] = args._
async function main() {
let result
switch (cmd) {
case 'search': {
const query = args.query || rest.join(' ')
if (!query) { result = { error: '--query required' }; break }
const body = { query }
if (args.type) body.type = args.type
if (args.num) body.numResults = Number(args.num)
if (args.category) body.category = args.category
if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
if (args['include-text']) body.includeText = args['include-text'].split(',').map(s => s.trim())
if (args['exclude-text']) body.excludeText = args['exclude-text'].split(',').map(s => s.trim())
if (args['start-published']) body.startPublishedDate = args['start-published']
if (args['end-published']) body.endPublishedDate = args['end-published']
if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
if (args['user-location']) body.userLocation = args['user-location']
const contents = buildContents(args)
if (contents) body.contents = contents
result = await api('POST', '/search', body)
break
}
case 'find-similar': {
const url = args.url
if (!url) { result = { error: '--url required' }; break }
const body = { url }
if (args.num) body.numResults = Number(args.num)
if (args['include-domains']) body.includeDomains = args['include-domains'].split(',').map(s => s.trim())
if (args['exclude-domains']) body.excludeDomains = args['exclude-domains'].split(',').map(s => s.trim())
if (args['start-published']) body.startPublishedDate = args['start-published']
if (args['end-published']) body.endPublishedDate = args['end-published']
if (args['start-crawl']) body.startCrawlDate = args['start-crawl']
if (args['end-crawl']) body.endCrawlDate = args['end-crawl']
const contents = buildContents(args)
if (contents) body.contents = contents
result = await api('POST', '/findSimilar', body)
break
}
case 'contents': {
const urls = args.urls?.split(',').map(s => s.trim())
if (!urls || !urls.length) { result = { error: '--urls required (comma-separated)' }; break }
const body = { urls }
const contents = buildContents(args)
if (contents) Object.assign(body, contents)
else body.text = true
result = await api('POST', '/contents', body)
break
}
default:
result = {
error: 'Unknown command',
usage: {
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>]',
'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]',
contents: 'contents --urls <url1,url2> [--text] [--highlights] [--summary] [--max-chars <n>] [--highlight-query <q>] [--summary-query <q>]',
options: '--dry-run (preview request without sending)',
}
}
}
console.log(JSON.stringify(result, null, 2))
}
main().catch(err => {
console.error(JSON.stringify({ error: err.message }))
process.exit(1)
})