MCP Git Worktree Workflows

MCP server for automated parallel development using git worktrees. Workflows: 1. Voting 2. Orchestration 3. Ad Hoc

python

1

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "doctacon-mcp-worktree-workflows": {
      "command": "python",
      "args": [
        "/path/to/mcp-servers/worktree_workflows.py"
      ]
    }
  }
}

Available tools

create_voting_worktrees

Creates worktrees and starts automated execution for multiple variant implementations.

list_sessions

Monitors all active sessions and their progress.

evaluate_implementations

Gets detailed ranking and evaluation of all variants in a session.

auto_select_best

Automatically choose and finalize the best implementation for merging.

finalize_best

Manually finalize a specific implementation for integration.

cleanup_session

Force cleanup of a session and its worktrees.

create_adhoc_worktree

Creates a single worktree for quick tasks.

create_orchestrated_worktrees

Creates multiple worktrees for coordinated subtasks.

get_worktree_info

Inspect details of a specific worktree.

mark_implementation_complete

Mark an implementation as complete.