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MCP server for JackpotKeywords — AI keyword research and AI-visibility (AEO) scanning. Three tools: recommend (keywords ranked by composite Jackpot Score using
MCP server for JackpotKeywords — AI keyword research and AI-visibility (AEO) scanning. Three tools: recommend (keywords ranked by composite Jackpot Score using real Google Ads volume/CPC + AI relevance); aeo_scan (10 buyer-intent queries via Gemini grounded search, reports whether your URL is cited/mentioned/absent); credit_balance. Install: npx -y jackpotkeywords-mcp-server
npm version MCP Registry Glama smithery badge License: MIT
MCP (Model Context Protocol) server for JackpotKeywords — AI-powered keyword research, SEO audits, and AI-visibility scanning. Lets Claude Code, Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients call JackpotKeywords directly.
Five tools available: jackpotkeywords_credit_balance, jackpotkeywords_recommend, jackpotkeywords_recommend_deep, jackpotkeywords_audit, jackpotkeywords_aeo_scan.
npx doesn't require a local Node.js if your MCP client bundles one).Recommended — use the CLI:
claude mcp add -s user jackpotkeywords \
-e JACKPOTKEYWORDS_API_KEY=jk_live_... \
-- npx -y jackpotkeywords-mcp-server
That writes the server to your user-scope config (~/.claude.json) so it's available in every Claude Code session, in every project. Verify with claude mcp list.
Or hand-edit ~/.claude.json (user scope) or .mcp.json in the project root (project scope), adding to the mcpServers object:
{
"mcpServers": {
"jackpotkeywords": {
"command": "npx",
"args": ["-y", "jackpotkeywords-mcp-server"],
"env": {
"JACKPOTKEYWORDS_API_KEY": "jk_live_..."
}
}
}
}
Important: Claude Code does not read ~/.claude/mcp.json (with the slash). The real user-scope path is ~/.claude.json (with the dot). Use the CLI to avoid this trap.
Restart any open Claude Code session to pick up the new tools — MCP servers load at session start, not dynamically.
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"jackpotkeywords": {
"command": "npx",
"args": ["-y", "jackpotkeywords-mcp-server"],
"env": {
"JACKPOTKEYWORDS_API_KEY": "jk_live_..."
}
}
}
}
Cursor uses the same JSON shape. Settings → MCP → Add Server:
{
"mcpServers": {
"jackpotkeywords": {
"command": "npx",
"args": ["-y", "jackpotkeywords-mcp-server"],
"env": { "JACKPOTKEYWORDS_API_KEY": "jk_live_..." }
}
}
}
jackpotkeywords_credit_balanceReturns the current credit balance for your API account.
No arguments. Use it to verify your key works and to check credits before calling the paid tools.
jackpotkeywords_recommendRuns the full keyword research pipeline for a product and returns ranked recommendations by composite Jackpot Score (volume, CPC, competition, trend, cluster strength, AI relevance). Backed by real Google Ads Keyword Planner data.
Cost: $0.10 per call (flat — regardless of limit). Refunded on pipeline failure. Latency ~60–180s.
| Argument | Type | Required | Description |
|---|---|---|---|
url |
string | one-of | Product URL to extract context from |
description |
string | one-of | Plain-English product description |
limit |
number | no | Max recommendations to return. Default 50, max 200. |
budget |
number | no | Daily ad budget in USD (influences AI scoring) |
location |
string | no | Location for local-intent boosting |
Returns: top 25 recommendations as a readable table in content, with the full ranked list in structuredContent.recommendations.
Example prompt (in Claude Code):
Use jackpotkeywords_recommend on https://bulklistingpro.com — find keywords I should target for SEO and Google Ads for an eBay bulk listing tool. Limit 50.
jackpotkeywords_recommend_deepSame inputs as jackpotkeywords_recommend, with two server-side additions: competitor discovery runs in parallel with autocomplete (broadens the keyword set with competitor-derived seeds), and the response surfaces the cluster + category + competitor-brand aggregates that the standard recommend tool discards.
Cost: $0.30 per call (flat — regardless of limit). Refunded on pipeline failure. Latency ~75–200s.
| Argument | Type | Required | Description |
|---|---|---|---|
url |
string | one-of | Product URL to extract context from |
description |
string | one-of | Plain-English product description |
limit |
number | no | Max recommendations to return. Default 50, max 200. Clusters/categories/competitors not truncated. |
budget |
number | no | Daily ad budget in USD (influences AI scoring) |
location |
string | no | Location for local-intent boosting |
Returns: top 25 recommendations + top 8 clusters + category distribution + competitor brands in content, with full data in structuredContent.
Example prompt:
Use jackpotkeywords_recommend_deep on https://markitup.app — show me the keyword clusters and competitor brands.
jackpotkeywords_auditRuns an SEO audit on a URL. Crawls the primary page plus up to 8 priority secondary pages, runs deterministic checks across technical / content / crawlability / structured data / local / social-sharing categories, and uses Gemini for keyword-gap identification + prioritized recommendations. AEO data is not bundled — use jackpotkeywords_aeo_scan for that.
Cost: $0.50 per audit (refunded on failure). Latency ~20–60s.
| Argument | Type | Required | Description |
|---|---|---|---|
url |
string | yes | URL to audit |
Returns: overall score + per-category scores + top failing/warning checks + top keyword gaps + top recommendations in content. Full check list, per-page results, and all gaps/recs in structuredContent.
Example prompt:
Run jackpotkeywords_audit on https://markitup.app and tell me the top 3 things I should fix.
jackpotkeywords_aeo_scanRuns an AI-visibility scan. Asks 10 buyer-intent queries about your product through Gemini's grounded search and reports, per query: whether the URL was cited as a source, mentioned in the answer text, or absent — plus the top sources the AI did cite.
Cost: $1.00 per scan (refunded on failure). Latency ~30–120s.
| Argument | Type | Required | Description |
|---|---|---|---|
url |
string | yes | Product URL to scan |
productContext |
object | no | Pre-extracted product context (skip extraction step) |
Returns: visibility score + per-query results in content, full structured data in structuredContent.queries.
Example prompt:
Run jackpotkeywords_aeo_scan on https://markitup.app and tell me which queries we're missing from.
| Var | Required | Description |
|---|---|---|
JACKPOTKEYWORDS_API_KEY |
yes | API key from https://jackpotkeywords.web.app/developers |
JACKPOTKEYWORDS_API_BASE |
no | Override the API base URL. Default: https://jackpotkeywords.web.app/api/v1. Useful for testing against staging. |
$2 starter credit on signup (no card, no expiration)/v1/recommend — $0.10/call/v1/recommend-deep — $0.30/call (adds clusters + categories + competitors)/v1/audit — $0.50/audit (SEO only; pair with /v1/aeo-scan for AI-visibility)/v1/aeo-scan — $1.00/scanPOST /v1/topup) in $5 / $25 / $100 / $500 packs or custom ≥ $5git clone https://github.com/smythmyke/jackpotkeywords-mcp-server.git
cd jackpotkeywords-mcp-server
npm install
npm run build
# Point your MCP client config at the local build:
{
"command": "node",
"args": ["/absolute/path/to/jackpotkeywords-mcp-server/dist/index.js"],
"env": { "JACKPOTKEYWORDS_API_KEY": "jk_live_..." }
}
JACKPOTKEYWORDS_API_KEY to source control.POST /v1/keys + DELETE /v1/keys/:keyId).The server surfaces clean human-readable errors for the common cases:
Invalid or missing JACKPOTKEYWORDS_API_KEY — set or rotate the key.Insufficient balance — top up at https://jackpotkeywords.web.app/developers.Rate limit exceeded — wait briefly and retry.MIT
Выполни в терминале:
claude mcp add jackpot-keywords -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.