Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vendor Risk Assessment MCP ServerAssess the risk of using Microsoft Azure"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Simple Vendor Risk Assessment MCP Server
🎯 Simplest possible vendor risk assessment using AWS Titan and MCP
Following krishnaik06 MCP-CRASH-Course pattern with function-only implementation.
🚀 Quick Start
Google Colab (Easiest)
Open
Vendor_Risk_Assessment_MCP.ipynbin Google ColabAdd your AWS credentials
Run all cells
Local Setup
🔧 MCP Tools
Tool | Description |
| Single vendor risk assessment |
| Compare multiple vendors |
| Industry risk insights |
| System status check |
⚙️ Claude Desktop Config
Add to claude_desktop_config.json:
💡 Example Usage
Single Assessment:
Comparison:
Industry Benchmark:
📊 How It Works
Mock Data Generation: Creates realistic vendor profiles
AWS Titan Analysis: AI-powered risk insights
Risk Scoring: 1-10 scale (lower = better)
Comprehensive Reports: Executive summaries with recommendations
🛠️ Architecture
Function-only implementation (no classes)
FastMCP server for MCP protocol
AWS Bedrock Titan for AI analysis
Realistic mock data for demonstrations
Google Colab compatible
🔒 Requirements
Python 3.9+
AWS account with Bedrock access
AWS credentials configured
📱 Files Included
main.py- Main MCP servertest_client.py- Simple testingsetup.py- Easy installationVendor_Risk_Assessment_MCP.ipynb- Google Colab notebookConfiguration and documentation files
Built following krishnaik06 MCP-CRASH-Course patterns! 🚀