JSPM

@suenot/aicommit-mcp-bundled

0.1.3
    • ESM via JSPM
    • ES Module Entrypoint
    • Export Map
    • Keywords
    • License
    • Repository URL
    • TypeScript Types
    • README
    • Created
    • Published
    • Downloads 3
    • Score
      100M100P100Q58904F
    • License MIT

    MCP server for generating git commit messages using AI (bundled with aicommit)

    Package Exports

    • @suenot/aicommit-mcp-bundled
    • @suenot/aicommit-mcp-bundled/index.js

    This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@suenot/aicommit-mcp-bundled) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

    Readme

    aicommit-mcp-bundled

    MCP (Model Context Protocol) server for aicommit - AI-powered git commit message generation, bundled with aicommit.

    Overview

    This MCP server allows AI assistants (like Claude) to generate git commit messages for your code changes. It acts as a bridge between LLMs and the aicommit tool, enabling AI-powered version control workflows.

    This is the bundled version that automatically installs aicommit for you.

    Package Location

    📦 NPM Package: @suenot/aicommit-mcp-bundled

    Features

    • ✅ Generate commit messages using AI based on your repository changes
    • ✅ Execute aicommit operations with all available options
    • ✅ Check git status to understand your repository state
    • ✅ View configured LLM providers for aicommit
    • ✅ Support for automatic staging, pushing, and pulling
    • Automatic installation of aicommit during setup

    Installation

    Prerequisites

    • Node.js 14 or higher
    • npm or cargo (for aicommit installation)

    Installation

    # Install the bundled MCP server
    npm install -g @suenot/aicommit-mcp-bundled
    
    # During installation, you'll be prompted to choose between npm or cargo for aicommit installation

    The installation process will:

    1. Install aicommit using npm or cargo (your choice)
    2. Guide you through setting up an LLM provider for aicommit
    3. Configure everything needed to use the MCP server

    Usage

    Starting the server

    # Start using the globally installed package
    mcp-server-aicommit
    
    # Or using npx
    npx @suenot/aicommit-mcp-bundled

    AI Assistant Integration

    Claude Desktop

    To use this MCP server with Claude, add it to your Claude configuration:

    {
      "mcpServers": {
        "aicommit": {
          "command": "npx",
          "args": ["-y", "@suenot/aicommit-mcp-bundled"]
        }
      }
    }

    Cursor

    Add the following to your Cursor configuration:

    {
      "mcpServers": {
        "aicommit": {
          "command": "npx",
          "args": ["-y", "@suenot/aicommit-mcp-bundled"]
        }
      }
    }

    Windsurf

    Add the following to your Windsurf configuration:

    {
      "mcpServers": {
        "aicommit": {
          "command": "npx",
          "args": ["-y", "@suenot/aicommit-mcp-bundled"]
        }
      }
    }

    Cline

    Add the following to your Cline configuration:

    {
      "mcpServers": {
        "aicommit": {
          "command": "npx",
          "args": ["-y", "@suenot/aicommit-mcp-bundled"]
        }
      }
    }

    Smithery

    Install via Smithery CLI:

    npx -y @smithery/cli@latest install @suenot/aicommit-mcp-bundled --client claude --config '{}'

    You can also install for different clients by changing the --client parameter:

    # For Cursor
    npx -y @smithery/cli@latest install @suenot/aicommit-mcp-bundled --client cursor --config '{}'
    
    # For Windsurf
    npx -y @smithery/cli@latest install @suenot/aicommit-mcp-bundled --client windsurf --config '{}'

    Functionality

    This MCP server exposes the following tools:

    1. generate_commit_message

    Generates a commit message for the current git changes (without actually creating a commit).

    Parameters:

    • staged_only (boolean): Whether to only consider staged changes (default: true)
    • verbose (boolean): Show detailed information about the execution (default: false)
    • max_tokens (integer): Maximum number of tokens in the generated commit message (default: 50)

    Example usage:

    const result = await tools.generate_commit_message({ staged_only: false, max_tokens: 100 });
    console.log(result.commit_message);

    2. execute_aicommit

    Executes aicommit to generate a commit message and create the commit in one step.

    Parameters:

    • add (boolean): Stage all changes before committing (default: false)
    • push (boolean): Push changes after committing (default: false)
    • pull (boolean): Pull changes before committing (default: false)
    • verbose (boolean): Show detailed information (default: false)
    • max_tokens (integer): Maximum number of tokens for the generated commit message (default: 50)

    Example usage:

    const result = await tools.execute_aicommit({ 
      add: true,
      push: true
    });
    console.log(result.commit_message);

    3. get_git_status

    Get the current git status of the repository.

    Parameters:

    • verbose (boolean): Whether to show detailed status information (default: false)

    Example usage:

    const result = await tools.get_git_status({ verbose: true });
    console.log(result.status);

    4. list_aicommit_providers

    List configured LLM providers for aicommit.

    Example usage:

    const result = await tools.list_aicommit_providers();
    console.log(result.providers);

    Manual Configuration of aicommit

    If the automatic configuration of aicommit did not work, you can configure it manually:

    # Configure aicommit providers
    aicommit --add-provider

    License

    MIT