Nist Rmf Ai Mcp
Use NIST Risk Management Framework workflows in-agent to assess AI risk, map impacts, and draft controls before production release.
Overview
nist-rmf-ai-mcp is a MCP server for the Ship phase that lets agents run NIST RMF-style AI risk assessment, impact mapping, and control generation over stdio.
What is this MCP server?
- Tooling to assess risk profile for AI systems via MCP
- Map AI impact across components and stakeholders
- Generate risk controls aligned to NIST RMF thinking
- stdio Python package nist-rmf-ai-mcp v1.0.9 on PyPI
- Three described tool themes: assess risk profile, map AI impact, generate risk controls
- Server version 1.0.9 with stdio transport via PyPI
What problem does it solve?
Small teams struggle to produce credible AI risk and control documentation without copying generic NIST slides into chat.
Who is it for?
Solo builders shipping agent or LLM features who need NIST-flavored governance artifacts for security reviews or RFPs.
Skip if: Builders with no AI risk surface, or organizations that require formal ATO processes with accredited assessors only.
What do I get? / Deliverables
After install, your agent can invoke structured RMF-oriented tools to draft risk profiles, impact maps, and control lists grounded in your product description.
- Risk profile assessment outputs from agent tool calls
- AI impact mapping notes and suggested risk controls for refinement
Recommended MCP Servers
Journey fit
How it compares
NIST RMF governance MCP, not a pentest exploit framework or generic lint skill.
Common Questions / FAQ
Who is nist-rmf-ai-mcp for?
Developers and founders using MCP agents who must articulate AI risks and controls using NIST RMF language.
When should I use nist-rmf-ai-mcp?
During Ship security work when you are finalizing AI features, preparing customer security packets, or planning production guardrails.
How do I add nist-rmf-ai-mcp to my agent?
Install the PyPI package nist-rmf-ai-mcp, configure stdio in your MCP client, and follow CSOAI-ORG/nist-rmf-ai-mcp on GitHub for environment variables and tool usage.