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How to Build an AI Employee Using MCP and Claude
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How to Build an AI Employee Using MCP and Claude

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What if your AI assistant could actually DO things — not just talk about them? With MCP (Model Context Protocol) and 0nMCP, you can build an AI employee that: Responds to customer messages automatically Scores leads and updates your CRM Creates invoices and sends them Posts to social media on schedule Generates reports from your data Here's how. The Architecture You (or a trigger) → Claude/AI → 0nMCP → APIs → Results A trigger fires (new message, schedule, webhook) Claude receives the context 0nMCP executes the required API calls Results flow back Example 1: Auto-Responder When a customer sends a message to your CRM: Webhook fires → hits your endpoint Claude reads the message + contact history Claude generates a personalized response 0nMCP sends the response via CRM API All automatic. Response time: under 10 seconds. Example 2: Lead Scorer When a new contact is created: CRM webhook fires Claude analyzes: email domain, title, company, source Assigns a score 0-100 0nMCP updates the conta

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