MCP Tools Cookbook

A comprehensive collection of Model Context Protocol (MCP) tool patterns and recipes. This cookbook demonstrates various MCP design patterns that you can use as building blocks for your own AI-powered applications.

🧑‍🍳 Available Recipes (Patterns)

This cookbook demonstrates essential MCP tool patterns:

🎯 Prompt Exposure Pattern

• code_reviewer_prompt - Ready-to-use comprehensive code review prompts
• react_prompt_generator - Dynamic ReAct (Reason + Act) pattern prompt generation
• Use case: Transform MCP into a prompt repository service

🤔 Clarification Questions Pattern

• smart_recipe_generator - Progressive information gathering with intelligent questions
• Use case: Handle incomplete user input gracefully by asking targeted follow-up questions

🔄 Multi-Step Tool Pattern

• step1_initialize_workflow → step2_execute_workflow - Sequential tool dependencies
• Use case: Complex workflows requiring state management and ordered execution

🌐 Client Tool Orchestration Pattern

• sequential_web_search - Bridges external tools (like web_search) with MCP processing
• Use case: Extend and orchestrate native client tools from the server side

🎲 Response-Driven Navigation Pattern

• tool_with_follow_up - Tools that suggest next actions through embedded commands
• quantum_mood_analyzer, rubber_duck_debugger, coffee_brew_oracle - Fun example tools
• Use case: Guide conversation flow through tool response content

📸 Patterns in Action

See these MCP tool patterns demonstrated in real AI conversations:

🎯 Prompt Exposure Pattern

The code_reviewer_prompt tool exposing a comprehensive, ready-to-use code review template

🤔 Clarification Questions Pattern

The smart_recipe_generator tool progressively gathering information through targeted questions

🌐 Client Tool Orchestration Pattern

The sequential_web_search tool orchestrating multiple web searches and processing results

🎲 Response-Driven Navigation Pattern

The tool_with_follow_up tool suggesting next actions, leading to rubber_duck_debugger execution

🚀 Quick Start

Setup Your Kitchen (Environment)

# Create virtual environment
python3 -m venv venv

# Activate virtual environment
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Or use the convenient activation script:

source activate.sh

Using with AI Applications

Connect this cookbook to LLM applications that support MCP:

1. Claude Desktop: Add to your MCP configuration
2. Cursor: Add to your MCP configuration
3. Custom LLM apps: Use the FastMCP client
4. Other MCP clients: Any MCP-compatible client can use these patterns

Claude Desktop Configuration Example

{
  "mcpServers": {
    "mcp-tools-cookbook": {
      "command": "python",
      "args": ["path-to-repository/mcp_server.py"]
    }
  }
}

Cursor Configuration Example

Add to your ~/.cursor/mcp.json file:

{
  "mcp-tools-patterns": {
    "command": "python",
    "args": [
      "path-to-repository/mcp_server.py"
    ]
  }
}

📝 License

This cookbook is provided as-is for educational purposes. Check the FastMCP repository for its license terms.