claude-command 0.2.0

Claude Command - AI command center for Claude Code

Claude Command MCP Server

Real-time AI collaboration command center for Claude Code CLI with dynamic multi-provider support.

Overview

Claude Command is an MCP (Model Context Protocol) server that enables live three-way conversations between Claude Code CLI, multiple AI providers, and human developers. Built with fastMCP, it supports dynamic provider switching and real-time streaming conversations.

Features

• Multi-Provider Support: Gemini, OpenAI, and Anthropic models
• Dynamic Provider Switching: Call any AI provider on-demand
• Real-Time Streaming: Watch conversations unfold live via tail -f
• Context Preservation: Full conversation history maintained across providers
• Background Processing: Non-blocking AI calls with threading
• Session Management: Persistent conversation storage in JSON format

Architecture

Built using fastMCP framework with modular client architecture:

Claude Code CLI (Hub) ↔ fastMCP Server ↔ [Gemini ↔ OpenAI ↔ Anthropic]

Installation

Prerequisites

• Claude Code CLI
• Python 3.10+
• API keys for desired providers

Install Dependencies

git clone https://github.com/shaneholloman/mcp-claude-command
cd mcp-claude-command
uv sync

Configure API Keys

Set environment variables:

export GEMINI_API_KEY="your_gemini_key"
export OPENAI_API_KEY="your_openai_key"
export ANTHROPIC_API_KEY="your_anthropic_key"

Or use command line arguments:

uv run python -m claude_command \
  --gemini-api-key YOUR_GEMINI_KEY \
  --openai-api-key YOUR_OPENAI_KEY \
  --anthropic-api-key YOUR_ANTHROPIC_KEY

Add to Claude Code

Install as a global UV tool and configure with Claude CLI:

# Install claude-command globally
uv tool install .

# Configure with Claude CLI (includes all API keys for multi-provider support)
# Option 1: Using environment variables (if you have them set)
claude mcp add claude-command claude-command \
  -e GEMINI_API_KEY="$GEMINI_API_KEY" \
  -e CLAUDE_COMMAND_OPENAI_API_KEY="$OPENAI_API_KEY" \
  -e CLAUDE_COMMAND_ANTHROPIC_API_KEY="$ANTHROPIC_API_KEY" \
  --scope user

# Option 2: Using your actual API keys directly (replace with your real keys)
claude mcp add claude-command claude-command \
  -e GEMINI_API_KEY="AIzaSyBxxxxxxxxxxxxxxxxxxxxxxx" \
  -e CLAUDE_COMMAND_OPENAI_API_KEY="sk-proj-xxxxxxxxxxxxxxxxxxxxxxx" \
  -e CLAUDE_COMMAND_ANTHROPIC_API_KEY="sk-ant-api03-xxxxxxxxxxxxxxx" \
  --scope user

# Verify configuration
claude mcp list
claude mcp get claude-command

# Verify API keys are properly configured (incontrovertible proof)
claude mcp get claude-command | grep -A 10 "Environment:"

Usage

Available Tools

Tool	Description	Parameters
claude_command_query	Interactive conversation with AI	prompt, conversation_id, temperature, provider
claude_command_review	Code review by AI	code, focus, provider
claude_command_brainstorm	Creative brainstorming session	topic, context, provider
claude_command_conversation_history	Retrieve conversation history	conversation_id
claude_command_status	Server health and configuration	-
claude_command_conversations_list	List all conversation files	-
claude_command_conversations_cleanup	Clean up old conversations	keep_count

Provider Selection

Specify AI provider for any tool:

# Use default provider (first available)
claude_command_query prompt="Hello!"

# Use specific provider
claude_command_query prompt="Hello!" provider="gemini"
claude_command_query prompt="What do you think?" provider="openai"
claude_command_query prompt="Your perspective?" provider="anthropic"

Live Streaming

Watch conversations in real-time:

tail -f ~/claude-command/live_stream.txt

Multi-AI Conversations

Create conversations between multiple AI providers:

1. Start conversation with one provider
2. Use different providers for follow-up responses
3. Each AI sees full conversation context
4. Watch live streaming for real-time collaboration

File Locations

All conversation data stored in ~/claude-command/:

• Live Stream: live_stream.txt - Real-time conversation output
• Sessions: session_YYYY-MM-DD_HH-MM-SS_XXXXXXXX.json - Session files
• Conversations: conversation_YYYY-MM-DD_HH-MM-SS_XXXXXXXX.json - Individual conversations

Configuration

Settings

Configure via environment variables or command line:

• GEMINI_API_KEY / --gemini-api-key
• OPENAI_API_KEY / --openai-api-key
• ANTHROPIC_API_KEY / --anthropic-api-key
• CONVERSATIONS_DIR / --conversations-dir (default: ~/claude-command)
• DEFAULT_TEMPERATURE / --temperature (default: 0.7)

Models

Default models by provider:

• Gemini: gemini-2.0-flash-exp
• OpenAI: gpt-4
• Anthropic: claude-3-5-sonnet-20241022

Development

Project Structure

src/claude_command/
├── server.py              # Main MCP server with fastMCP tools
├── settings.py            # Configuration management
├── sessions.py            # Conversation session handling
└── clients/
    ├── interface.py       # AI client interface
    ├── gemini.py         # Gemini implementation
    ├── openai.py         # OpenAI implementation
    ├── anthropic.py      # Anthropic implementation
    └── factory.py        # Client factory

Local Development

git clone https://github.com/shaneholloman/mcp-claude-command
cd mcp-claude-command
uv sync
uv run python -m claude_command --gemini-api-key YOUR_KEY

Requirements

• Claude Code CLI (will NOT work with Claude Desktop)
• At least one API key (Gemini, OpenAI, or Anthropic)
• Python 3.10+
• uv package manager

License

MIT License - see LICENSE for details.