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Claude_Desktop_API_USE_VIA_MCP

MCP.Pizza Chef: mlobo2012

Claude_Desktop_API_USE_VIA_MCP is an MCP server that integrates Claude Desktop with the Claude API, enabling advanced features like custom system prompts, conversation history tracking, and bypassing Professional Plan limitations. It supports seamless switching between Professional Plan and API usage, providing longer context windows and enhanced conversation management for developers and users.

Use This MCP server To

Bypass Claude Desktop Professional Plan limitations using API tokens Manage and track conversation history within Claude Desktop Use custom system prompts for tailored AI interactions Switch seamlessly between Professional Plan and API usage Enable longer context windows for complex conversations Configure Claude Desktop for advanced API integration

README

Claude Desktop API Integration via MCP

This project provides an MCP server implementation that enables seamless integration between Claude Desktop and the Claude API. It allows you to bypass Professional Plan limitations and access advanced features like custom system prompts and conversation management.

Features

  • Direct Claude API integration via MCP
  • Conversation history tracking and management
  • System prompt support
  • Seamless switching between Professional Plan and API usage
  • Easy configuration with Claude Desktop

When to Use

  • Professional Plan (default):

    • Regular conversations in Claude Desktop
    • Basic usage within plan limits
    • No special configuration needed
  • API Token (via this MCP server):

    • When you need longer context windows
    • To use custom system prompts
    • To bypass rate limits
    • For advanced conversation management

Setup Instructions

  1. Clone the Repository

    # Using VS Code:
    # 1. Press Cmd + Shift + P
    # 2. Type "Git: Clone"
    # 3. Paste: https://github.com/mlobo2012/Claude_Desktop_API_USE_VIA_MCP.git
    
    # Or using terminal:
    git clone https://github.com/mlobo2012/Claude_Desktop_API_USE_VIA_MCP.git
    cd Claude_Desktop_API_USE_VIA_MCP
  2. Install Dependencies

    pip install -r requirements.txt
  3. Configure Environment

    # Copy environment template
    cp .env.example .env
    
    # Edit .env and add your API key
    ANTHROPIC_API_KEY=your_api_key_here
  4. Configure Claude Desktop

    • macOS: Navigate to ~/Library/Application Support/Claude/
      # Using Finder:
      # 1. Press Cmd + Shift + G
      # 2. Enter: ~/Library/Application Support/Claude/
    • Windows: Navigate to %APPDATA%\Claude\
    • Create or edit claude_desktop_config.json
    • Copy contents from config/claude_desktop_config.json
    • Update paths and API keys

Usage Guide

Basic Usage

  1. Regular Claude Desktop Usage

    • Just chat normally with Claude
    • Uses your Professional Plan
    • No special commands needed
  2. API Usage

    @claude-api Please answer using the API: What is the capital of France?
    

Advanced Features

  1. Using System Prompts

    @claude-api {"system_prompt": "You are an expert fitness coach"} Create a workout plan
    
  2. Managing Conversations

    # Start a new conversation
    @claude-api {"conversation_id": "project1"} Let's discuss Python
    
    # Continue same conversation
    @claude-api {"conversation_id": "project1"} Tell me more
    
    # View conversation history
    @claude-api get_conversation_history project1
    
    # Clear conversation
    @claude-api clear_conversation project1
    

Cost Management

  • API calls use your Anthropic API credits and may incur charges
  • Use the Professional Plan for regular queries
  • Only use @claude-api when you specifically need:
    • Longer context windows
    • Custom system prompts
    • To bypass rate limits

MCP Tools Available

  1. query_claude

    • Make direct API calls to Claude
    • Support for system prompts
    • Conversation tracking
  2. clear_conversation

    • Reset conversation history
    • Manage multiple conversation threads
  3. get_conversation_history

    • Retrieve conversation records
    • Debug conversation flow

Development

The main server implementation is in src/claude_api_server.py. To extend functionality, you can add new tools using the @mcp.tool() decorator.

Example of adding a new tool:

@mcp.tool()
async def custom_tool(param: str) -> str:
    """
    Custom tool description
    
    Args:
        param: Parameter description
    """
    try:
        # Tool implementation
        return result
    except Exception as e:
        return f"Error: {str(e)}"

Troubleshooting

  1. API Key Issues

    • Verify your API key in .env
    • Check Claude Desktop config paths
    • Ensure API key has correct permissions
  2. Connection Issues

    • Check if MCP server is running
    • Verify Python environment
    • Check Claude Desktop logs
  3. Usage Issues

    • Ensure correct @claude-api syntax
    • Check conversation IDs
    • Verify system prompt format

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

License

MIT

Support

For issues and questions:

  1. Open an issue in the repository
  2. Check existing discussions
  3. Review the troubleshooting guide

Claude_Desktop_API_USE_VIA_MCP FAQ

How do I configure Claude Desktop to use this MCP server?
Clone the repository, follow setup instructions, and configure API tokens in Claude Desktop to connect via MCP.
Can this MCP server bypass Claude Desktop's Professional Plan rate limits?
Yes, using API tokens via this MCP server allows bypassing rate limits and accessing extended features.
Does this server support conversation history management?
Yes, it tracks and manages conversation history for better context and continuity.
Can I use custom system prompts with this MCP server?
Yes, it supports custom system prompts to tailor AI responses.
Is switching between Professional Plan and API usage seamless?
Yes, the server allows easy switching without interrupting workflow.
What are the benefits of using this MCP server over default Professional Plan?
It provides longer context windows, advanced conversation management, and bypasses rate limits.
Is the setup process complex?
No, setup involves cloning the repo and configuring API tokens, with clear instructions provided.
Which LLM providers does this MCP server support?
Primarily Claude API, but MCP architecture allows integration with other providers like OpenAI and Gemini.