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 Colab
- Add 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 server
- test_client.py- Simple testing
- setup.py- Easy installation
- Vendor_Risk_Assessment_MCP.ipynb- Google Colab notebook
- Configuration and documentation files 
Built following krishnaik06 MCP-CRASH-Course patterns! 🚀
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI-powered vendor risk assessment using AWS Titan, allowing users to evaluate individual vendors, compare multiple vendors, and get industry risk benchmarks through natural language queries.