@compligent-mcp/rmf

@compligent-mcp/rmf

Compligent MCP Client for NIST Risk Management Framework (RMF)

Thin client connecting to hosted RMF compliance service via Model Context Protocol (MCP)

Overview

This package provides access to the comprehensive NIST Risk Management Framework (RMF) through a lightweight client that connects to Compligent's hosted compliance database. Perfect for risk assessment, continuous monitoring, and RMF lifecycle management.

Features

• 🎯 19 RMF Tools - Complete lifecycle coverage from Prepare to Monitor
• 💬 2 Interactive Prompts - Categorization wizard and implementation guidance
• 📊 1 Live Resource - Real-time RMF lifecycle dashboard
• 🔗 Zero Installation - Access via npx without local setup
• ⚡ Always Updated - Connected to live compliance database
• 🌐 Cloud-Powered - Hosted on Railway with 99.9% uptime

Quick Start

Option 1: NPX (Recommended)

npx @compligent-mcp/rmf

Option 2: Claude Desktop Integration

Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "rmf": {
      "command": "npx",
      "args": ["-y", "@compligent-mcp/rmf@latest"],
      "env": { "MCP_TRANSPORT": "stdio" }
    }
  }
}

Capabilities

🛠️ Tools (19 available)

Core RMF Operations

• list_rmf_steps - All 7 RMF steps (PREPARE, CATEGORIZE, SELECT, IMPLEMENT, ASSESS, AUTHORIZE, MONITOR)
• get_rmf_step - Detailed step information with tasks
• get_rmf_task - Individual task details
• search_rmf_tasks - Find tasks by keyword

Risk Assessment & Management

• calculate_rmf_risk_level - Risk calculation engine
• generate_rmf_risk_matrix - Visual risk heat maps
• generate_rmf_risk_register - Comprehensive risk registers with POA&M integration

Implementation Support

• generate_rmf_checklist - Step-specific implementation checklists
• generate_rmf_step_playbook - Customized implementation guides
• generate_rmf_responsibility_matrix - RACI matrices for tasks

Continuous Monitoring (ISCM)

• generate_rmf_iscm_strategy - Monitoring strategy development
• define_rmf_monitoring_metrics - KPIs, KRIs, and alert criteria
• create_rmf_dashboard_template - Executive and operational dashboards

Enhanced Intelligence

• get_rmf_task_details - Complete task information with outputs, inputs, responsibilities
• get_rmf_role_responsibilities - Role definitions with task assignments
• get_rmf_task_discussion - Implementation guidance and best practices
• get_rmf_reference_documents - Related NIST publications
• get_rmf_sdlc_integration - RMF tasks mapped to SDLC phases

💬 Prompts (2 available)

System Categorization Wizard (rmf_categorization_wizard)

Interactive guidance for FIPS 199 system categorization with:

• Step-by-step impact analysis
• Confidentiality, integrity, availability assessment
• Baseline recommendation
• Documentation generation

Implementation Guidance

Comprehensive implementation support for RMF steps and tasks with:

• Organization-specific recommendations
• Best practices and common pitfalls
• Resource requirements and timelines

📊 Resources (1 available)

RMF Lifecycle Dashboard (rmf://dashboard/lifecycle)

Real-time view of RMF pipeline with:

• System status across all RMF steps
• Progress indicators and bottlenecks
• Executive summary and recommendations
• Interactive workflow visualization

Example Usage

Basic Tool Usage

// List all RMF steps
const steps = await mcp.callTool('list_rmf_steps', {});

// Get specific step details
const prepareStep = await mcp.callTool('get_rmf_step', {
  step_id: 'P'
});

// Calculate risk level
const riskLevel = await mcp.callTool('calculate_rmf_risk_level', {
  threat_likelihood: 'High',
  impact_level: 'Moderate', 
  control_effectiveness: 'Partially Effective'
});

Interactive Prompts

// System categorization wizard
const categorization = await mcp.getPrompt('rmf_categorization_wizard', {
  system_name: 'Customer Portal',
  system_type: 'web-application',
  data_sensitivity: 'high'
});

Live Resources

// Access RMF lifecycle dashboard
const dashboard = await mcp.readResource('rmf://dashboard/lifecycle');

Command Line Testing

# Test tool listing
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | npx @compligent-mcp/rmf

# Test RMF steps
echo '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"list_rmf_steps","arguments":{}},"id":2}' | npx @compligent-mcp/rmf

# Test prompts
echo '{"jsonrpc":"2.0","method":"prompts/list","id":3}' | npx @compligent-mcp/rmf

# Test resources  
echo '{"jsonrpc":"2.0","method":"resources/list","id":4}' | npx @compligent-mcp/rmf

Architecture

This thin client connects to Compligent's hosted RMF service:

• Client: Lightweight proxy (this package)
• Service: Full RMF server deployed on Railway
• Data: NIST SP 800-37 Rev 2 CPRT database
• Protocol: Model Context Protocol (MCP) over HTTPS

Important Notes

MCP Client Usage: This is an MCP client designed for integration with AI assistants and MCP-compatible tools.

Recommended Usage:

• Claude Desktop: Add to MCP configuration (recommended)
• NPX: npx @compligent-mcp/rmf for testing
• Global Install: npm install -g @compligent-mcp/rmf

Not Recommended: Direct command-line usage (this is an MCP client, not a CLI tool)

Authentication

Optional API key authentication:

export COMPLIGENT_API_KEY=your-api-key
npx @compligent-mcp/rmf

Support

• Documentation: https://compligent.io/rmf
• Issues: GitHub Issues
• Support: [e-mail]

License

MIT License - see LICENSE file for details.

Compligent MCP Platform | Streamlining Compliance Through AI