smythmyke

jackpotkeywords-mcp-server

Community smythmyke
Updated

MCP server for JackpotKeywords — AI keyword research and AI-visibility (AEO) scanning over the public REST API

jackpotkeywords-mcp-server

npm versionMCP RegistryLicense: MIT

MCP (Model Context Protocol) server for JackpotKeywords — AI-powered keyword research and AI-visibility scanning. Lets Claude Code, Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients call JackpotKeywords directly.

Three tools available: jackpotkeywords_credit_balance, jackpotkeywords_recommend, jackpotkeywords_aeo_scan.

Prerequisites

  1. A JackpotKeywords API key — generate one at https://jackpotkeywords.web.app/developers (instant, self-serve, $5 starter credit, no card required).
  2. Node.js 18 or newer (only if installing locally; npx doesn't require a local Node.js if your MCP client bundles one).

Configure in Claude Code

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.

Configure in Claude Desktop

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_..."
      }
    }
  }
}

Configure in Cursor

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_..." }
    }
  }
}

Tools

jackpotkeywords_credit_balance

Returns 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_recommend

Runs 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_aeo_scan

Runs 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.

Environment variables

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.

Pricing reference

  • $5 starter credit on signup (no card, no expiration)
  • /v1/recommend — $0.10/call (≈ 50 calls per $5)
  • /v1/aeo-scan — $1.00/call (≈ 5 calls per $5)
  • Topup via Stripe checkout (POST /v1/topup) in $25 / $100 / $500 packs or custom ≥ $25
  • Rate limit: 60 requests/min, 1000/hr per key

Local development

git 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_..." }
}

Security

  • Never commit JACKPOTKEYWORDS_API_KEY to source control.
  • If you accidentally expose a key, revoke it at https://jackpotkeywords.web.app/developers and create a new one (POST /v1/keys + DELETE /v1/keys/:keyId).
  • Keys are SHA-256 hashed on the server; the raw key is shown only once at creation.

Errors

The server surfaces clean human-readable errors for the common cases:

License

MIT

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