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Agents Playbook MCP

Model Context Protocol Integration

Overview

A set of workflows that helps AI models follow consistent, validated processes with context engineering, guardrails and semantic workflow discovery.

# Agents Playbook

A set of workflows that helps AI models follow consistent, validated processes with context engineering, guardrails and semantic workflow discovery.

Installation Instructions


README: https://github.com/Fohlio/agents-playbook

Agents Playbook

License: MIT

AI workflow orchestration framework with structured development processes and semantic workflow discovery.

Overview

Agents Playbook is a framework for AI-driven development workflows. It provides structured processes through semantic workflow discovery and validation.

Features

  • 9 YAML-based workflows for development tasks
  • 25+ context-engineered mini-prompts organized by phases
  • Semantic search using OpenAI embeddings
  • MCP (Model Context Protocol) server integration
  • TypeScript implementation
  • Workflow validation and smart step skipping

Prerequisites

  • Node.js 18.0.0 or higher
  • npm 8.0.0 or higher
  • OpenAI API Key (for semantic search)

Quick Start

Installation

# Clone the repository
git clone https://github.com/your-repo/agents-playbook
cd agents-playbook

# Install dependencies
npm install

# Run tests
npm test

Configuration

Create a .env.local file:

OPENAI_API_KEY=your_openai_api_key_here

Development

# Build embeddings for semantic search
npm run build:embeddings

# Start development server
npm run dev

# Server available at:
# - Web UI: http://localhost:3000
# - MCP Endpoint: http://localhost:3000/api/mcp

Project Structure

agents-playbook/
├── public/playbook/          # Workflow definitions
│   ├── workflows/            # YAML workflow specifications
│   ├── mini-prompts/         # Context-engineered prompts
│   └── phases/               # Workflow phase definitions
├── src/
│   ├── lib/                  # Core implementation
│   │   ├── execution/        # Workflow execution
│   │   ├── mcp-tools/        # MCP protocol tools
│   │   └── validation/       # Validation logic
│   └── app/                  # Next.js application
└── tests/                    # Test suite

Testing

# Run all tests
npm test

# Run integration tests
npm run test:integration

# Run tests in watch mode
npm run test:watch

MCP Tools

The project provides three MCP tools:

  • get_available_workflows(task_description) - Semantic search for workflows
  • select_workflow(workflow_id) - Get complete workflow specification
  • get_next_step(workflow_id, current_step, available_context) - Step-by-step navigation

Environment Variables

OPENAI_API_KEY=your_api_key    # Required for semantic search

Workflows

Available workflows:

Development

  • feature-development
  • product-development
  • quick-fix
  • code-refactoring

Testing & QA

  • fix-tests
  • fix-circular-dependencies
  • unit-test-coverage

Setup & Planning

  • trd-creation
  • feature-brainstorming

MCP Integration

Claude Desktop

{
  "mcpServers": {
    "agents-playbook": {
      "url": "https://agents-playbook.vercel.app/api/mcp"
    }
  }
}

Local Usage

Copy playbook files directly to your project:

cp -r public/playbook/ /path/to/your/project/

Deployment

Vercel

npm i -g vercel
vercel --prod

Set environment variables in Vercel dashboard:

  • OPENAI_API_KEY=your_key_here

Contributing

  1. Fork and clone the repository
  2. Install dependencies: npm install
  3. Start development: npm run dev
  4. Run tests: npm test
  5. Create pull request

Add workflows in public/playbook/workflows/ and mini-prompts in public/playbook/mini-prompts/.

Troubleshooting

No workflows found: Rebuild embeddings with npm run build:embeddings

OpenAI API errors: Verify API key is set correctly

MCP server connection failed: Check if server is running on port 3000

License

MIT License - see LICENSE file for details.

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