🛡️ Deception Remote MCP Server - AI-Powered Honeypot

A serverless honeypot built using Cloudflare Workers and the Model Context Protocol (MCP). This project simulates sensitive internal tools to detect unauthorized access attempts and AI agent behaviors using Canarytokens.

🧩 TL;DR

This is a deception-based honeypot built using Cloudflare Workers and Model Context Protocol (MCP). It simulates sensitive admin tools (like Okta password reset) and silently triggers Canarytokens when accessed — ideal for Zero Trust, AI security, and threat detection research.

💡 Why It Matters

• ✅ First-of-its-kind use of MCP as a deception honeypot
• 🧠 Detects unauthorized AI agent behavior in Zero Trust environments
• 🌍 Serverless, globally distributed, and stealthy
• 🎯 Easy to deploy, integrate, and extend
• 🛡️ Provides valuable threat intelligence about AI agent behaviors
• 🔍 OWASP AI Security tested against emerging AI-based threats

🔐 Security Features

• Advanced Canarytoken Integration: Enhanced tracking with User-Agent, IP, and interaction details
• Rate Limiting: Protection against brute force and DoS attempts
• Sensitive Username Detection: Special handling for admin, root, and other sensitive account access attempts
• Realistic Response Delays: Mimics real system behavior to appear legitimate
• Enhanced Error Handling: Secure error messages that don't reveal system details
• MCP Protocol Compatibility: Optimized for Cloudflare AI Playground and other MCP clients
• SSE Protocol Support: Server-Sent Events implementation for MCP communication

🚀 Deploy Your Own

Or deploy manually:

# Install dependencies
npm install

# Deploy to Cloudflare Workers
npm run deploy

Your MCP server will be deployed to:

https://deception-remote-mcp-server.<your-account>.workers.dev

🔧 Tools & Features

• welcome: Displays a welcome message with information about available tools
• ask_about_me: Dynamic Q&A based on comprehensive resume data with 13+ question categories
• okta_admin_password_reset: Simulates admin reset of user passwords with special handling for sensitive accounts
• Cybersecurity-themed UI: Professional landing page with security-focused design
• REST and SSE endpoints: Multiple access methods for broader coverage

🧪 Test It with CURL

# Test the REST API endpoint
curl -X POST https://deception-remote-mcp-server.<your-account>.workers.dev/okta_admin_password_reset \
  -H "Content-Type: application/json" \
  -d '{"okta_username": "regular_user"}'

# Test the SSE endpoint
curl -N -H "Accept: text/event-stream" https://deception-remote-mcp-server.<your-account>.workers.dev/sse

Try with sensitive usernames to see different responses:

curl -X POST https://deception-remote-mcp-server.<your-account>.workers.dev/okta_admin_password_reset \
  -H "Content-Type: application/json" \
  -d '{"okta_username": "admin"}'

🔍 Troubleshooting MCP Connectivity

If you're having trouble connecting to your MCP server from Cloudflare AI Playground or other clients:

1. Check SDK Versions: Ensure you're using compatible versions of @modelcontextprotocol/sdk (v1.13.1+) and agents packages (v0.0.100+)
2. Verify Tool Structure: Make sure your tool definitions follow the standard format: (name, parameters, handler)
3. Avoid Custom Headers: Don't add custom security headers to MCP or SSE endpoints
4. Test with curl: Use curl to test your endpoints directly
5. Check Browser Console: Look for CORS errors or other issues in the browser console

📡 Connect to Cloudflare AI Playground

1. Go to https://playground.ai.cloudflare.com

2. Enter your MCP endpoint:

   https://deception-remote-mcp-server.<your-account>.workers.dev/sse

🔍 How It Works

1. Honeypot Setup: Deploys as a Cloudflare Worker with MCP and REST endpoints
2. Deception Layer: Presents as legitimate internal tools with realistic behaviors
3. Detection Mechanism: When sensitive tools are accessed, silently triggers alerts via Canarytokens
4. Rate Limiting: Prevents abuse with configurable request limits
5. Realistic Responses: Implements variable delays and context-aware responses
6. SSE Communication: Uses Server-Sent Events for real-time MCP protocol communication

🧠 Try These MCP Tool Prompts

Test out tools using Cloudflare's AI Playground or any MCP-compatible interface:

🟢 welcome tool

use tool welcome with { }

Displays a welcome message with guidance on using the available tools.

🧑‍💼 ask_about_me tool - Now with enhanced response categories!

# Basic questions
use tool ask_about_me with { "question": "Tell me about yourself" }
use tool ask_about_me with { "question": "What do you do at Indeed?" }

# Work experience questions
use tool ask_about_me with { "question": "What was your role at Dell?" }
use tool ask_about_me with { "question": "What's your work experience?" }

# Skills and expertise questions
use tool ask_about_me with { "question": "What cloud platforms do you know?" }
use tool ask_about_me with { "question": "What are your security skills?" }

# Education and certification questions
use tool ask_about_me with { "question": "Tell me about your education" }
use tool ask_about_me with { "question": "What certifications do you have?" }

🔐 okta_admin_password_reset tool

# Regular account
use tool okta_admin_password_reset with { "okta_username": "regular_user" }

# Sensitive account (receives different response)
use tool okta_admin_password_reset with { "okta_username": "admin" }

📊 Recent Updates

Version 1.4.0

• MCP Compatibility Improvements: Fixed issues with Cloudflare AI Playground connectivity
• Updated Dependencies: Upgraded to latest MCP SDK (v1.13.1) and Agents package (v0.0.100)
• Optimized Tool Structure: Improved tool definitions for better compatibility
• Streamlined Response Handling: Enhanced SSE and MCP endpoint handling

Key Changes

• Tool definitions now follow standard format: (name, parameters, handler)
• Simplified response handling for MCP and SSE endpoints
• Removed custom header manipulation that was interfering with MCP protocol
• Let the MCP SDK handle headers directly for better compatibility

Version 1.3.0

• Added enhanced resume data with 13+ question categories
• Implemented sensitive username detection
• Added OWASP AI Security test scripts

🛡️ Future Security Enhancements

Check out the SECURITY_IMPROVEMENTS.md file for a detailed roadmap of planned security improvements.

📄 License

MIT – for educational and research use only.

🔗 Live example: https://deception-remote-mcp-server.harshad-surfer.workers.dev/