MCP Lab

Lab for developing custom MCP (Multi-Component Protocol) servers integrated with AI tooling. Enables modular AI workflows via VS Code-compatible servers. Designed for one-person developers building structured agent pipelines. Supports prompt design, sampling control, and tool orchestration. Includes example agents and tools for rapid iteration. Great for creating and debugging advanced agent infrastructure.

Table of Contents

• MCP Lab
  • Features
  • Installation
  • Quick Start
  • Project Structure
  • Example Servers
  • Benefits
  • How It Compares
  • License

MCP Lab

A development environment for building and testing custom MCP (Multi-Component Protocol) servers that integrate seamlessly with AI tooling and VS Code-compatible environments.

Features

• Custom MCP server development framework
• VS Code and Claude Desktop integration
• Structured agent pipeline architecture
• Prompt design and sampling control
• Tool orchestration and debugging
• Example agents for rapid iteration
• Modular AI workflow components

Project Structure

• src/servers/: MCP server implementations
• src/tools/: Custom tool definitions
• src/agents/: Example agent configurations
• src/utils/: Utility functions and helpers
• tests/: Testing framework and examples
• examples/: Sample workflows and integrations

Example Servers

The lab includes several pre-built servers:

• File Operations: File system interaction and management
• Database Tools: Database query and manipulation tools
• API Integration: External API connection handlers
• Data Processing: Text and data transformation utilities
• Code Analysis: Code parsing and analysis tools

Benefits

• Accelerates MCP server development with proven patterns
• Provides structured approach to agent pipeline creation
• Enables rapid prototyping and debugging of AI workflows
• Offers reusable components for common AI tasks
• Simplifies integration with existing development environments

How It Compares

• Purpose-built for solo developers creating agent infrastructure
• Focuses on modularity and rapid iteration over enterprise features
• Lightweight alternative to complex agent frameworks
• Seamless VS Code and Claude Desktop integration
• Emphasizes debugging and development experience

Installation

1. Clone the repository:

git clone https://github.com/harehimself/mcp-lab.git
cd mcp-lab

2. Install dependencies:

pip install -r requirements.txt

3. Configure your environment:

cp .env.example .env
# Edit .env with your API keys and settings

Quick Start

1. Start a basic MCP server:

python src/servers/basic_server.py

2. Test server functionality:

python tests/test_server.py

3. Integrate with Claude Desktop by adding to your configuration:

{
  "mcpServers": {
    "mcp-lab": {
      "command": "python",
      "args": ["path/to/mcp-lab/src/servers/main_server.py"]
    }
  }
}

License

MIT License © 2025 HareLabs