seo_keyword_research
ActiveTool of @gapup/mcp-knowledge
SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.
Parameters schema
{
"type": "object",
"required": [
"seed_keyword"
],
"properties": {
"async": {
"type": "boolean",
"description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
},
"country": {
"type": "string",
"description": "ISO 3166-1 alpha-2 country code for Google Suggest (e.g. 'US', 'FR', 'DE'). Defaults to 'US'."
},
"language": {
"type": "string",
"description": "BCP-47 language code for suggestions (e.g. 'en', 'fr', 'de', 'es'). Defaults to 'en'."
},
"seed_keyword": {
"type": "string",
"description": "The seed keyword or topic to research (e.g. 'invoice software', 'project management tool')"
}
}
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
@gapup/mcp-knowledge
https://github.com/getgapup/gapup-mcp
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