Claude Orchestration MCP Server
About
MCP server for orchestrating multiple Claude Code sessions
Details
- Author
- claude-did-this
- Downloads
- 229
- Categories
- AI
Jump to
- Create and manage multiple Claude Code sessions
- Define dependencies between sessions
- Monitor session progress and status
- Retrieve outputs from completed sessions
- Web-based interface using Gradio
- Bearer token authentication with webhook secret
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Claude Orchestration MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies (gradio, httpx, python-dotenv), configure the .env file with your webhook secret (e.g., CLAUDE_WEBHOOK_SECRET=your-secret-here), and start the server using ./run_server.sh or python mcp_server.py. The server runs at http://localhost:7860. Tools are available as MCP endpoints: create_session, start_session, get_session_status, get_session_output, list_sessions, and wait_for_session.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"claude orchestration mcp server": {
"mcp-claude-hub": {
"command": "python",
"args": [
"mcp_server.py"
]
}
}
}
}
McpServers
{
"mcp-claude-hub": {
"command": "python",
"args": [
"mcp_server.py"
]
}
}
Claude Orchestration MCP Server
An MCP (Model Context Protocol) server for orchestrating multiple Claude Code sessions to work on complex projects in parallel.
Features
- Create and manage multiple Claude Code sessions
- Define dependencies between sessions
- Monitor session progress and status
- Retrieve session outputs
- Web-based interface using Gradio
Setup
1. Install dependencies:
pip install gradio httpx python-dotenv
2. Configure environment variables:
- Copy .env.example to .env
- Update CLAUDE_WEBHOOK_SECRET with your actual webhook secret
3. Run the server:
```bash
./run_server.sh
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