Vendor Risk Assessment MCP Server
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
šÆ Simplest possible vendor risk assessment using AWS Titan and MCP
Following krishnaik06 MCP-CRASH-Course pattern with function-only implementation.
š Quick Start
Google Colab (Easiest)
Open
Vendor_Risk_Assessment_MCP.ipynbin Google ColabAdd 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.pyRelated MCP server: AWS Compliance MCP Server
š§ MCP Tools
Tool | Description |
| Single vendor risk assessment |
| Compare multiple vendors |
| Industry risk insights |
| System status check |
āļø 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"
}
}
}
}š” Example Usage
Single Assessment:
"Assess the risk of using Salesforce"
ā assess_vendor_risk("Salesforce")Comparison:
"Compare Microsoft vs Google vs Amazon"
ā compare_vendors("Microsoft, Google, Amazon")Industry Benchmark:
"What are typical risks in Healthcare?"
ā get_industry_risk_benchmark("Healthcare")š 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
š ļø 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
š Requirements
Python 3.9+
AWS account with Bedrock access
AWS credentials configured
š± 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! š
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