MCP ExplorerExplorer

Compliance

@grafanaon 9 months ago
2 MIT
FreeCommunity
AI Systems
An mcp server to support compliance operations in AI agents

Overview

What is Compliance

hackathon-12-mcp-compliance is an MCP server designed to support compliance operations for AI agents, specifically focusing on FedRAMP compliance processes.

Use cases

Use cases include assisting organizations in understanding security controls, implementing compliance measures, and evidencing compliance through documented evidence.

How to use

To use hackathon-12-mcp-compliance, set up the environment by creating a directory for the MCP compliance binary, adding it to your PATH, cloning the repository, and deploying it locally. Then, configure your AI agent to interact with the MCP compliance server.

Key features

Key features include CLI tools for processing FedRAMP baseline data, an MCP server that exposes compliance data to LLM agents, and various commands for retrieving control information and evidence guidance.

Where to use

hackathon-12-mcp-compliance can be used in sectors that require compliance with federal regulations, particularly in cloud services and AI development environments.

Content

MCP Compliance

A project for compliance that provides CLI tools and an MCP server for agents to interact with compliance data.

Overview

The FedRAMP Compliance MCP Server is designed to support users throughout their compliance journey, which consists of three main phases:

  1. Understanding - Learning about security controls, their requirements, and how they apply to your system
  2. Implementing - Designing and implementing controls in your system to meet compliance requirements
  3. Evidencing - Collecting and documenting evidence to demonstrate compliance with controls

This project provides tools for working with FedRAMP compliance data, including:

  1. CLI tools for processing and querying FedRAMP baseline data
  2. An MCP server that exposes compliance data to LLM agents

Roadmap

This project is missing the automation of evidence collection. There needs to be a way to securely store what may be sensitive data in a shared location that provides the proper ACLs and data protection. This is intended to be added in a future hackathon or additional roadmap time.

Easy Button Quick Start

For the quickest setup:

# Create the directory for the MCP compliance binary
mkdir -p ~/.mcp-compliance/bin

# Add to your PATH (add this to your .bashrc or .zshrc for persistence)
export PATH=$PATH:~/.mcp-compliance/bin

# Clone the repository
git clone https://github.com/grafana/hackathon-12-mcp-compliance.git
cd hackathon-12-mcp-compliance

# Build and deploy locally
make deploy-local

Now you can configure your agent (Cursor or Claude Desktop) to use the MCP compliance server. See the Getting Started Guide for configuration details.

Documentation

MCP Server

The MCP server provides the following tools for LLM agents:

  • get_control: Get detailed information about a specific control
  • get_control_family: Get all controls in a specific family
  • list_control_families: List all control families in a program
  • search_controls: Search for controls by keyword
  • get_control_evidence_guidance: Get detailed guidance for evidence about a specific control

Data Sources

The FedRAMP baseline files are sourced from the official GSA FedRAMP Automation GitHub repository:

Tools

No tools

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