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Building AI Chatbots with MCP Server Integration

Learn how I built an AI-powered resume chatbot using Next.js, Claude, and custom MCP servers on Cloudflare Workers for enhanced contextual responses.

January 15, 2025 5 min read

Building AI Chatbots with MCP Server Integration

In this article, I’ll walk you through how I built my AI-driven resume chatbot that you can try on this website. The chatbot uses cutting-edge technology including Claude AI, MCP (Model Context Protocol) servers, and Cloudflare Workers for deployment.

The Challenge

Traditional chatbots often struggle with providing accurate, contextual information about specific topics. When building a resume chatbot, I needed a solution that could:

  • Access structured resume data reliably
  • Provide accurate, grounded responses
  • Handle rate limiting and security
  • Deploy cost-effectively at the edge

The Solution: MCP Servers

MCP (Model Context Protocol) servers allow you to extend AI capabilities by providing structured access to external data and tools. By creating a custom MCP server, I was able to give Claude direct access to my resume data in a structured format.

Key Technologies Used

  1. Next.js - React framework for the frontend
  2. AI SDK v5 - Vercel’s AI SDK for streaming responses
  3. Claude - Anthropic’s AI model for natural language understanding
  4. Cloudflare Workers - Edge deployment with global distribution
  5. Cloudflare KV - Rate limiting and session management

Implementation Highlights

The MCP server exposes tools that Claude can use to fetch specific information:

  • getExperience() - Returns work history
  • getSkills() - Returns categorized skills
  • getProjects() - Returns project details
  • getEducation() - Returns educational background

This approach ensures the AI always has access to accurate, up-to-date information rather than relying on training data that may be outdated.

Results

The chatbot successfully:

  • Reduces AI hallucinations by grounding responses in real data
  • Provides instant, accurate answers about my professional background
  • Handles multiple concurrent users with Cloudflare’s edge network
  • Maintains low latency globally

Try It Yourself

You can interact with the chatbot by clicking the chat icon in the bottom-right corner of this page. Feel free to ask any questions about my experience, skills, or projects!

Have questions about building similar AI integrations? Feel free to reach out!

WS

Waqas Shaukat

Software Engineer specializing in full-stack development and AI integration.