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131,212 tools. Last updated 2026-05-08 01:01

"A tool for finding lost sales leads by salespeople" matching MCP tools:

Matching MCP Servers

  • A
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    quality
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    This read-only MCP Server allows you to connect to Oracle Sales data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
    Last updated
    MIT
  • A
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    Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting
    Last updated
    1
    MIT

Matching MCP Connectors

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

  • Public Settro sales MCP tools for missed-call ROI, direct-order recovery, social ordering, and fit.

  • Identify revenue lost to stockouts by analyzing sales data over a specified period, helping prioritize replenishment decisions.
  • List pending write confirmations waiting for approval to recover lost tokens or check operation status.
    Apache 2.0
  • Retrieve the verification block and transaction JSON for a previously prepared transaction using its handle when the original output is lost from context.
    Business Source 1.1
  • Retrieve submitted leads from a Meta ad form for CRM sync or retrospective analysis. Returns lead ID, creation time, ad and campaign IDs, form ID, and field data. Pull regularly to avoid data loss within 90 days.
    Apache 2.0
  • Scrape B2B leads from Apollo.io by submitting a search URL. Returns a runId to check status later. Use webhooks for async delivery instead of polling.
    MIT
  • Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
    MIT
  • Identify lost backlinks for domain or URL analysis by retrieving linking pages, target pages, link attributes, and deletion dates to monitor link profile changes.
    MIT
  • Get historical NFT sales data across multiple marketplaces. Filter by network, block range, marketplace, contract, buyer, or seller to analyze NFT trading activity.
    MIT