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Risk Assessment Ai Mcp

csoai-org/risk-assessment-ai-mcp

A NIST AI RMF-aligned risk management server that maintains a structured risk register for AI systems. It tracks risks with scoring, treatment plans, controls, and a signed evidence trail, which is useful if you're building compliance documentation for regulated AI deployments. The EU AI Act compliance focus covers Article 9 risk management requirements, Article 13 transparency docs, and Article 15 bias testing obligations. If you're documenting AI risk assessments or need audit trails for governance frameworks, this gives you structured primitives instead of managing spreadsheets. Installs via pip and runs over stdio transport.

tools
3
transport
STDIO
last updated
Jun 13, 2026

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

assess_risk

No parameter schema in public metadata yet.

create_risk_register

No parameter schema in public metadata yet.

add_risk

No parameter schema in public metadata yet.

Sponsors

Readme

MCP Scorecard: 86/100

mcp-name: io.github.CSOAI-ORG/risk-assessment-ai-mcp

Risk Assessment Ai MCP

MEOK AI Labs GSPC License PyPI

AI risk assessment MCP β€” NIST AI RMF-aligned risk register with scoring, treatments, controls, an...

AI risk assessment MCP β€” NIST AI RMF-aligned risk register with scoring, treatments, controls, and signed evidence trail.


πŸš€ Quick Start

# Install via pip
pip install risk_assessment_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install risk-assessment-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

πŸ“– Documentation


View the full README on GitHub

Details

Repository
github.com/csoai-org/risk-assessment-ai-mcp
Package
risk-assessment-ai-mcp
Transport
STDIO
Registry
MCP registry, active

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