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337,337 tools. Last updated 2026-07-30 01:30

"Tesla Sales Data" matching MCP tools:

  • Creates a sales invoice with an auto-generated reference for companies configured for auto-generated sales references. Requires real products, explicit user confirmation, and valid sales reps.
    Apache 2.0
  • Retrieves BRC VAT categories to distinguish Sales from Purchase categories, ensuring correct VAT rate assignment on invoices and credit notes.
    Apache 2.0
  • Retrieve current housing market data including 30-year and 15-year mortgage rates, housing starts, building permits, median sales price, Case-Shiller index, and existing home sales to analyze real estate trends.
    MIT

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  • AI sales — prospect discovery, ICP scoring, outreach generation.

  • Federal sales intelligence: expiring-contract triggers, agency spend intel, deal qualification.

  • Check creator earnings from marketplace sales by providing an agent UUID. Returns total earnings, pending payout, items sold, and top seller data.
    MIT
  • Retrieve a specific BRC sales invoice by providing the company name and invoice ID to access accounting data through natural-language queries.
    Apache 2.0
  • Retrieve a combined list of sales entries, invoices, and credit notes from Big Red Cloud accounting data.
    Apache 2.0
  • Get historical NFT sales data across multiple marketplaces. Filter by network, block range, marketplace, contract, buyer, or seller to analyze NFT trading activity.
    MIT
  • Retrieve sales invoices from Big Red Cloud accounting data by specifying company name. Supports filtering, ordering, and pagination to find specific invoices.
    Apache 2.0
  • Retrieve a paginated list of sales representatives from Big Red Cloud accounting data, with optional filtering and ordering to find specific reps.
    Apache 2.0
  • Retrieve sales-tax, property-tax, income-tax, and electricity-tax incentives for data centers in a specified US state. Includes eligibility criteria and expiration dates.
    MIT
  • Summarize tabular data by creating pivot tables: choose row and column indices, select a value column, and apply aggregation (sum, mean, count, min, max) to reveal patterns and relationships.
    MIT