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GNO Revenue Checker — Model Context Protocol Server

Provides AI agents and connector apps (Gemini Spark, Claude Desktop, LibreChat, Cursor, OpenAI Agents) with real-time access to calibrated Amazon sales rank curves, product monthly revenue estimates, seller catalog tracking, and market intelligence.

🚀 Adding to Google Gemini Spark Beta (gemini.google.com)

Gemini Spark allows connecting custom MCP servers over Streamable HTTP and OAuth 2.0. Follow these exact steps:

  1. Open gemini.google.com and sign in with your Google AI account.
  2. Go to Settings & help (gear icon or sidebar) ➔ Connected Apps ➔ Custom apps for Spark (or Add MCP Server).
  3. Click Add Custom App. If an "Advanced features" or OAuth form appears, fill in the following parameters:
Setting FieldValue to Enter
App NameGNO Revenue Checker
Server URL / Endpointhttps://mcp.gnoservices.io/ (or https://mcp.gnoservices.io/sse)
Client IDgno-mcp-gemini-spark
Client Secretgno_sec_9f48a1c82e7b4130d5a76e01bc6f32e9
Authorization URLhttps://mcp.gnoservices.io/oauth/authorize
Token URLhttps://mcp.gnoservices.io/oauth/token
User Info URLhttps://mcp.gnoservices.io/oauth/userinfo
Scopemcp

Note: If Gemini Spark supports Dynamic Client Registration (RFC 7591), you only need to enter https://mcp.gnoservices.io/ and it will automatically detect the endpoints and register its client.

Endpoints Reference

Protocol / TransportTarget URLNotes
Direct Streamable HTTPhttps://mcp.gnoservices.io/Default for Gemini Spark & JSON-RPC POST clients
Remote SSEhttps://mcp.gnoservices.io/sseRecommended for Claude Desktop, LibreChat, Cursor
Alternative SSE Pathhttps://mcp.gnoservices.io/mcp/sseFor clients requiring /mcp prefix
OAuth Discovery Metadatahttps://mcp.gnoservices.io/.well-known/oauth-authorization-serverRFC 8414 server metadata

LibreChat Configuration

Add this to your librechat.yaml file under mcpServers:

mcpServers:
  gno-revenue-checker:
    type: sse
    url: "https://mcp.gnoservices.io/sse"
    timeout: 60000

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "gno-revenue-checker": {
      "command": "python3",
      "args": ["-m", "mcp_server", "--remote", "https://mcp.gnoservices.io"]
    }
  }
}

Cursor / Continue / VS Code

{
  "mcpServers": {
    "gno-revenue-checker": {
      "url": "https://mcp.gnoservices.io/sse"
    }
  }
}

Available MCP Tools for AI Agents

Tool NameDescription
estimate_revenueEstimate Amazon monthly sales velocity (units) and revenue (gross & net after Amazon fees) from BSR, category, price, and marketplace.
check_asinInspect any Amazon ASIN, returning product title, BSR, estimated sales units, revenue history, and seller info.
search_productsSearch tracked catalog by keyword, category, marketplace, and revenue filters.
get_seller_storefrontLook up seller storefront, catalog count, monthly revenue volume, and top ASINs.
list_categoriesList calibrated Amazon categories and fitted power-law curve parameters (a, b).
analyze_opportunityScore a product niche (1-100), margin headroom, and competition risk.
get_platform_summaryLive database stats: total products tracked, monthly volume, and active calibrations.
search_marketplacesCross-platform search across eBay, Walmart, Etsy, Google Shopping, Best Buy.