Vendor Risk Assessment MCP Server
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.
README
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
# Extract and setup
unzip simple_vendor_risk_mcp.zip
cd vendor-risk-mcp
python setup.py
# Configure AWS
cp .env.example .env
# Edit .env with your AWS credentials
# Test
python test_client.py
# Run MCP server
python main.py
🔧 MCP Tools
| Tool | Description |
|---|---|
assess_vendor_risk(vendor_name) |
Single vendor risk assessment |
compare_vendors(vendor_list) |
Compare multiple vendors |
get_industry_risk_benchmark(industry) |
Industry risk insights |
health_check() |
System status check |
⚙️ Claude Desktop Config
Add to claude_desktop_config.json:
{
"mcpServers": {
"vendor-risk": {
"command": "python",
"args": ["/path/to/main.py"],
"env": {
"AWS_ACCESS_KEY_ID": "your_key",
"AWS_SECRET_ACCESS_KEY": "your_secret"
}
}
}
}
💡 Example Usage
Single Assessment:
"Assess the risk of using Salesforce"
→ assess_vendor_risk("Salesforce")
Comparison:
"Compare Microsoft vs Google vs Amazon"
→ compare_vendors("Microsoft, Google, Amazon")
Industry Benchmark:
"What are typical risks in Healthcare?"
→ get_industry_risk_benchmark("Healthcare")
📊 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 notebook- Configuration and documentation files
Built following krishnaik06 MCP-CRASH-Course patterns! 🚀
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