AI Playbook MCP Server

An MCP (Model Context Protocol) server that provides access to AI Playbook documentation through structured tools.

Overview

This MCP server exposes the AI Playbook documentation (10 markdown files covering AI principles, governance, security, etc.) through a set of tools that can be used by MCP clients like Claude Desktop.

Available Tools

• list_docs: List all available AI Playbook documentation files
• read_doc: Read the content of a specific document by filename
• search_docs: Search for content across all documents with optional case sensitivity
• get_doc_summary: Get an overview of what each document covers

Setup

1. Install dependencies:

npm install

2. Build the server:

npm run build

3. Run the server:

npm start

For development:

npm run dev

Note for contributors: This project requires Node.js 20 or newer. We recommend using nvm — run nvm use in the repo root (the .nvmrc file specifies Node 20).

Testing

Run the comprehensive test suite:

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Run tests with coverage report
npm run test:coverage

# Run linting
npm run lint

# Fix linting issues automatically
npm run lint:fix

Test Coverage: The project maintains >80% code coverage across all files. Coverage thresholds are automatically enforced in CI/CD.

Test Structure:

• Integration Tests (21 tests): Test each MCP tool's functionality
• E2E Tests (14 tests): Test complete server lifecycle and request-response cycles

Usage with Claude Desktop

Add this server to your Claude Desktop configuration:

{
  "mcpServers": {
    "ai-playbook": {
      "command": "node",
      "args": ["/path/to/AIPlaybookMCP/dist/index.js"]
    }
  }
}

Documents Available

The server provides access to these AI Playbook documents:

• principles.md: The 10 core principles for safe, responsible AI use
• understanding_ai.md: Fundamental AI concepts and limitations
• using_ai_safely_responsibly.md: Guidelines for responsible AI usage
• building_ai_solutions.md: Best practices for AI solution development
• buying_ai.md: Guidance for AI procurement
• governance.md: AI governance frameworks
• security.md: Security considerations for AI systems
• data_protection_privacy.md: Data protection and privacy guidelines
• legal_considerations.md: Legal and regulatory aspects
• appendix_use_cases.md: Practical AI use cases and examples

Example Usage

Once connected to an MCP client:

• List all documents: Use the list_docs tool
• Read a specific document: Use read_doc with filename like "principles.md"
• Search for terms: Use search_docs with a query like "security"
• Get document overview: Use get_doc_summary