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    Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.
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    79 npm
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    MIT
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    Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.
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    Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.
    4
    MIT
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    Lead generation MCP server for AI agents. Find emails, verify contacts, enrich profiles, and search prospects using Hunter.io, Apollo.io, and Abstract API.
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    4 npm
    MIT
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    Enables AI clients to seamlessly take HubSpot actions and interact with HubSpot data, allowing users to create/update CRM records, manage associations, and gain insights through natural language.
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    4 npm
    MIT
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    Enables AI agents to read from and write to HubSpot CRM using upsert and get lead profile tools, with Google Cloud Run authentication and secret management.
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    An MCP server that provides an interface to the Copper CRM API for managing contacts, companies, activities, and opportunities. It enables users to search for people, log meetings or notes, and track sales deals directly through MCP-compatible clients.
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    Enables AI-powered analysis of sales call transcripts through natural language queries, allowing users to search conversations, identify objections, and extract insights from customer calls without manually reviewing recordings.
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    Enables AI assistants like Claude to read and optionally write data in FieldRoutes (formerly PestRoutes) using plain English, with read-only mode by default and granular safety profiles.
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    MIT