Claude Code MCP
Orchestrates multiple Claude Code agents across iTerm2 sessions, providing centralized management and inter-agent communication.
Claude Code MCP - Agent Orchestration Platform
Overview
A sophisticated FastMCP Python server that orchestrates multiple Claude Code agents across iTerm2 sessions, providing centralized management and inter-agent communication through task-based workflows.
Architecture
Agent Orchestration Platform with:
- iTerm2 Tab-Based Sessions: No window complexity, pure tab management
- Persistent Agent State: Survives iTerm restarts with state recovery
- Codebase-Linked Sessions: Sessions tied to specific root filepaths
- Maximum Security Isolation: Process-level separation between agents
- Task-Based Inter-Agent Communication: ADDER+ workflow coordination
- System Prompt Injection: Automatic Agent_# naming and prompt prepending
Core MCP Tools
| Tool | Purpose | Security Level |
|---|---|---|
create_agent | Creates new Claude Code agent instance | HIGH |
delete_agent | Removes agent from system | HIGH |
create_session | Creates session tied to root filepath | MEDIUM |
get_session_status | Returns status of all agents in session | LOW |
delete_session | Removes entire session and all agents | HIGH |
send_message_to_agent | Sends message with ADDER+ prepending | MEDIUM |
clear_agent_conversation | Closes current iTerm tab for agent | MEDIUM |
start_new_agent_conversation | Opens new iTerm tab for agent | MEDIUM |
ADDER+ Workflow Integration
Each agent operates with the comprehensive ADDER+ (Advanced Development, Documentation & Error Resolution) protocol, enabling:
- Autonomous Task Management: TODO.md-driven execution with real-time progress tracking
- Advanced Programming Synthesis: Design by Contract + defensive programming + type-driven development + property-based testing + functional programming patterns
- Systematic Error Resolution: Root Cause Analysis with automatic task generation
- Inter-Agent Coordination: Task-based communication through documentation files
Security Model
- Process Isolation: Each Claude Code agent runs in separate process
- Session Boundaries: Agents cannot access other session codebases
- State Encryption: Persistent agent state encrypted at rest
- Audit Logging: All agent interactions logged for security analysis
- Permission Model: Role-based access control for agent operations
Quick Start
# Install dependencies
uv sync
# Start the MCP server
python src/main.py
Claude Desktop Configuration
To use this Agent Orchestration Platform with Claude Desktop, you need to configure it as an MCP server in Claude's configuration file.
Configuration File Location
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%/Claude/claude_desktop_config.json
Configuration Steps
-
Open Configuration File: Navigate to the configuration file location above. Create the file if it doesn't exist.
-
Add Server Configuration: Add the following configuration to your
claude_desktop_config.json:
Option 1: Using UV (Recommended)
{
"mcpServers": {
"claude-code-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/Claude_Code_MCP",
"run",
"python",
"src/main.py"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/src"
}
}
}
}
Option 2: Using Python Directly
{
"mcpServers": {
"claude-code-mcp": {
"command": "python",
"args": [
"/ABSOLUTE/PATH/TO/Claude_Code_MCP/src/main.py"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/src"
}
}
}
}
Option 3: Using Virtual Environment
{
"mcpServers": {
"claude-code-mcp": {
"command": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/.venv/bin/python",
"args": [
"/ABSOLUTE/PATH/TO/Claude_Code_MCP/src/main.py"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/src"
}
}
}
}
Configuration Notes
- Replace
/ABSOLUTE/PATH/TO/Claude_Code_MCPwith the actual absolute path to your project directory - On Windows, use backslashes in paths:
C:\\path\ o\\Claude_Code_MCP - Server Name: You can change
"claude-code-mcp"to any name you prefer - Virtual Environment: If using a virtual environment, adjust the Python path accordingly
Advanced Configuration Options
With Custom Security Level
{
"mcpServers": {
"claude-code-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/Claude_Code_MCP",
"run",
"python",
"src/main.py",
"--security-level",
"HIGH",
"--max-agents",
"16",
"--max-sessions",
"8"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/src"
}
}
}
}
With Custom Log Directory
{
"mcpServers": {
"claude-code-mcp": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/Claude_Code_MCP",
"run",
"python",
"src/main.py",
"--log-dir",
"/ABSOLUTE/PATH/TO/Claude_Code_MCP/logs"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/Claude_Code_MCP/src"
}
}
}
}
Verification Steps
- Save Configuration: Save the
claude_desktop_config.jsonfile - Restart Claude Desktop: Completely quit and restart Claude Desktop
- Check MCP Status: Look for MCP server indicators in the Claude Desktop interface:
- Hammer icon (🔨) indicating available tools
- Connector icon indicating MCP server connection
- Test Functionality: Try using one of the agent orchestration tools
Troubleshooting
Server Not Loading
- Verify all paths are absolute (not relative)
- Check that
uvorpythonis in your system PATH - Ensure the project directory exists and has correct permissions
- Review Claude Desktop logs at:
- macOS:
~/Library/Logs/Claude/mcp*.log - Windows:
%APPDATA%\Claude\logs\mcp*.log
- macOS:
Manual Testing
Test the server manually before configuring Claude Desktop:
# Navigate to project directory
cd /path/to/Claude_Code_MCP
# Test with UV
uv run python src/main.py --help
# Test with Python directly
python src/main.py --help
Common Issues
- Permission Errors: Ensure Claude Desktop has permission to execute the Python interpreter
- Import Errors: Verify
PYTHONPATHis correctly set in the configuration - Port Conflicts: If using HTTP transport, ensure the port (default 8000) is available
Available MCP Tools
Once configured, Claude Desktop will have access to these agent orchestration tools:
create_agent- Create new Claude Code agent instancesdelete_agent- Remove agents from the systemcreate_session- Create sessions tied to specific codebasesget_session_status- Get status of all agents in a sessiondelete_session- Remove entire sessions and all agentssend_message_to_agent- Send messages with ADDER+ protocol integrationclear_agent_conversation- Close current iTerm tab for agentstart_new_agent_conversation- Open new iTerm tab for agent
Development Workflow
- Session Creation: Link sessions to specific codebases
- Agent Spawning: Create specialized agents with custom system prompts
- Task Coordination: Agents communicate through TODO.md and task files
- Status Monitoring: Real-time visibility into agent progress and health
- Session Management: Persistent state with recovery capabilities
Integration Points
- FastMCP Framework: High-performance MCP server implementation
- iTerm2 Python API: Advanced terminal session management
- Claude Code: AI agent process orchestration
- Asyncio Architecture: Event-driven concurrent agent management
This platform enables sophisticated AI development workflows with multiple specialized agents working collaboratively on complex codebases while maintaining strict security isolation and comprehensive audit trails.
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