Files
our-claude-skills/custom-skills/19-seo-keyword-strategy/desktop/tools/semrush.md
Andrew Yim e527fb4b0f feat(seo-skills): multi-backend Data Source Selection (#7)
Replaces single-vendor (Ahrefs-only) tool defaults with a per-task
backend menu across all 14 SEO skills. Each skill now lists every
capable MCP in allowed-tools and documents how to pick between
Semrush, Ahrefs, OurSEO Agent (CLI + MCP), DataForSEO, and GSC
in its SKILL.md Data Source Selection section.

Tool stubs (~40 new files) populated per skill with capability
deltas, call patterns, and explicit "not for this skill when"
callouts so the menu is self-correcting.

Skills affected: 19-keyword-strategy, 20-serp-analysis,
21-position-tracking, 22-link-building, 23-content-strategy,
24-ecommerce, 25-kpi-framework, 26-international, 27-ai-visibility,
28-knowledge-graph, 31-competitor-intel, 32-crawl-budget,
33-migration-planner, 34-reporting-dashboard.

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-14 03:15:32 +09:00

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2.2 KiB
Markdown

# Semrush MCP
Default keyword-research backend per SKILL.md > Data Source Selection.
## Call pattern
The Semrush MCP follows a three-step discovery → schema → execute pattern (see Semrush MCP server instructions):
1. **Discovery** — pick the right toolkit for the task:
- `mcp__semrush__keyword_research` — keyword overview, related, volume, intent, KD
- `mcp__semrush__organic_research` — domain/URL organic keywords + competitors
- `mcp__semrush__overview_research` — domain/URL overview (traffic, ranking dist.)
- `mcp__semrush__url_research` — single-URL deep dive
2. **`mcp__semrush__get_report_schema(report_id=...)`** — fetch the param spec for the chosen report.
3. **`mcp__semrush__execute_report(report_id=..., params={...})`** — run it.
Default `database="us"` when the user does not specify a market. Use `display_limit=30-50` for exploratory queries.
## Available reports (keyword-research toolkit)
- Keyword overview (volume, CPC, competition, KD, trend)
- Related keywords
- Matching phrases (broad / phrase / exact match)
- Keyword difficulty (single + bulk)
- Search intent
- Keyword historical volume
## Configuration
| Parameter | Value |
|---|---|
| Default database | `us` |
| Korean market database | `kr` |
| Japan market database | `jp` |
| Auth | Semrush API key on the MCP server side (no local config) |
## Examples
**English keyword volume:**
```
mcp__semrush__keyword_research(query="enterprise CRM software", database="us")
→ pick report_id from response
mcp__semrush__get_report_schema(report_id="phrase_this")
mcp__semrush__execute_report(report_id="phrase_this", params={"phrase": "enterprise CRM software", "database": "us"})
```
**Korean expansion:**
```
mcp__semrush__keyword_research(query="신라호텔", database="kr")
mcp__semrush__execute_report(report_id="phrase_related", params={"phrase": "신라호텔", "database": "kr", "display_limit": 50})
```
## When NOT to use Semrush
- Task needs **GSC first-party query data** — use Ahrefs `gsc-keywords` or `our research search-console` instead.
- Task needs **Knowledge Graph entity expansion** — use `mcp__ourseo__search_knowledge_graph`.
- Task needs **bulk cheap calls at Korean scale**`our keywords *` CLI (DataForSEO) is usually cheaper.