NIST AI RMF MCP
NIST AI Risk Management Framework compliance — risk profiling, govern/map/measure/manage functions by MEOK AI Labs
Overview
Nist Rmf Ai MCP provides AI-powered tools via the Model Context Protocol (MCP).
Tools
| Tool | Description |
|---|---|
assess_risk_profile | Assess an AI system against the full NIST AI RMF 1.0 framework. |
map_ai_impact | Map AI system impacts across people, organizations, and ecosystems. |
generate_risk_controls | Generate NIST-aligned control recommendations for identified AI risks. |
crosswalk_to_eu_ai_act | Map NIST AI RMF functions and subcategories to EU AI Act articles. |
create_risk_report | Generate a complete NIST AI RMF compliance report in markdown. |
check_trustworthy_characteristics | Evaluate AI system against NIST's 7 trustworthy AI characteristics. |
predict_risk_neural | Neural network-based risk prediction that improves from every compliance check. |
neural_insights | Get aggregate learning insights from the neural compliance model. |
quick_scan | One-line system description to instant NIST AI RMF risk profile. No API key need |
framework_overview | Returns the NIST AI RMF GOVERN/MAP/MEASURE/MANAGE structure. No parameters neede |
Installation
pip install meok-nist-rmf-ai-mcp
Usage with Claude Desktop
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"nist-rmf-ai-mcp": {
"command": "python",
"args": ["-m", "meok_nist_rmf_ai_mcp.server"]
}
}
}
Usage with FastMCP
from mcp.server.fastmcp import FastMCP
# This server exposes 10 tool(s) via MCP
# See server.py for full implementation
License
MIT © MEOK AI Labs
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