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Building an MCP Server

In this section, you'll learn how to build your own MCP server using Cloudflare Workers.

🎯 Choose Your Use Case

We've prepared three complete MCP server examples that demonstrate different capabilities:

1. Real-time Travel Planner

  • Claude connects to Google Calendar and travel APIs
  • Checks flights, hotels, and calendar conflicts

2. Restaurant Reservation

  • Claude connects to a booking platform like Yelp or OpenTable
  • Manages restaurant bookings and availability

3. AI-Powered Meeting Summary

  • Claude summarizes notes and create jira tasks from Google docs
  • Processes meeting transcripts and generates summaries

📚 Implementation Guides

Each use case includes a comprehensive README with step-by-step instructions:

🚀 Getting Started

  1. Choose a use case that interests you most
  2. Navigate to the use case folder in your terminal
  3. Follow the README guide for your chosen use case
  4. Deploy to Cloudflare Workers using the provided instructions
  5. Connect to Claude and start testing your MCP server

Best Practices

🎯 Tool Design

Focus on user goals, not API coverage. Don't treat your MCP server as a wrapper around your full API schema. Instead, build tools that are optimized for specific user workflows and reliable outcomes.

  • ✅ Fewer, well-designed tools often outperform many granular ones
  • ✅ Optimize for agents with small context windows and tight latency budgets
  • ✅ Combine related operations into single, powerful tools when it makes sense

🔒 Scoped Permissions

Deploy focused servers with narrow permissions. This reduces security risks and makes your system easier to manage and audit.

  • ✅ One server per domain (e.g., separate servers for calendar, travel, finance)
  • ✅ Minimal required permissions for each server's specific use case
  • ✅ Clear audit trails of what each server can access

📝 Tool Descriptions

Write detailed, clear parameter descriptions. Help agents understand exactly how to use your tools correctly.

  • ✅ Expected values and formats for each parameter
  • ✅ Behavioral constraints and important limitations
  • ✅ Example usage patterns in your descriptions
  • ✅ Error conditions and how to handle them

🧪 Evaluation & Testing

Use evaluation tests ('evals') to measure tool effectiveness. This ensures your tools work reliably as your server evolves.

  • ✅ Test agent interactions with your tools regularly
  • ✅ Run evals after updates to catch regressions early
  • ✅ Track improvements in tool usage over time
  • ✅ Validate real-world scenarios your users will encounter

Ready to build? Pick your use case and dive into the detailed guide!

👉 Continue to Deploying Your MCP →