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How to Build an AI Employee Using MCP and Claude

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 C…

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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







  1. A trigger fires (new message, schedule, webhook)

  2. Claude receives the context

  3. 0nMCP executes the required API calls

  4. Results flow back






Example 1: Auto-Responder



When a customer sends a message to your CRM:




  1. Webhook fires → hits your endpoint

  2. Claude reads the message + contact history

  3. Claude generates a personalized response

  4. 0nMCP sends the response via CRM API



All automatic. Response time: under 10 seconds.






Example 2: Lead Scorer



When a new contact is created:




  1. CRM webhook fires

  2. Claude analyzes: email domain, title, company, source

  3. Assigns a score 0-100

  4. 0nMCP updates the contact with the score and tags



High-score leads get tagged "hot" and assigned to sales immediately.






Example 3: Content Creator



On a daily schedule:




  1. Cron triggers the workflow

  2. Claude generates a LinkedIn post based on your voice profile

  3. 0nMCP posts it via the social media API

  4. Done — fresh content every day without lifting a finger






Setting It Up






Step 1: Install 0nMCP






npm install -g 0nmcp









Step 2: Connect Your Services



Add credentials for the services your AI employee needs:




  • CRM for contacts and conversations

  • Stripe for invoicing

  • Slack for notifications

  • SendGrid for emails






Step 3: Create a Workflow



Save this as auto-responder.0n:




{
"$0n": {
"type": "workflow",
"version": "1.0.0",
"name": "Auto Responder"
},
"trigger": {
"type": "webhook",
"config": { "path": "/hooks/auto-respond" }
},
"steps": [
{
"id": "step_001",
"service": "anthropic",
"action": "chat_completion",
"params": { "model": "claude-sonnet-4-20250514", "messages": [{"role": "user", "content": "Generate a reply to: {{inputs.message}}"}] },
"output": "reply"
},
{
"id": "step_002",
"service": "crm",
"action": "send_message",
"params": { "contactId": "{{inputs.contactId}}", "type": "Email", "message": "{{step_001.output.response}}" }
}
]
}









Step 4: Run It






0nmcp run auto-responder.0n






Your AI employee is now live.






The Cost



0nMCP is free and open source. The only cost is the AI API calls (Claude/OpenAI) — typically $0.01-0.05 per execution.



For a business running 100 automated actions per day, that's about $3/month.






Get Started





npm install -g 0nmcp — your first AI employee starts today.

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