MCP - Software Management 🚀

A local Model Context Protocol (MCP) server that empowers AI coding agents to manage software on a computer in a safe, automated, and non-interactive way.

This project focuses on system automation: it enables AI agents to execute common software management workflows through explicit MCP tools, from installing applications to checking updates and recommending software for specific tasks.

🌟 Overview

Modern AI coding agents excel at understanding requirements and automating tasks, but they often lack standardized, non-interactive access to system software management workflows.

This project bridges that gap by exposing software management capabilities as explicit MCP tools, allowing AI agents to manage system software safely and predictably without relying on terminal prompts or interactive installers.

🏗️ Architecture

The project follows a clean layered architecture inspired by best practices from modern MCP servers:

main.py (MCP Tool Endpoints)
    ↓ Async/Sync Bridge (asyncio.to_thread)
services/ (Business Logic)
    ↓
utils/ (Low-level Utilities)
    ↓
models/ (Data Validation)

Directory Structure

software/
├── main.py                 # MCP tool endpoints
├── settings.py             # Configuration management
├── pyproject.toml          # Project metadata
├── requirements.txt        # Python dependencies
├── README.md               # This file
├── models/                 # Data validation & response models
│   ├── __init__.py
│   ├── result.py           # ToolResult, ErrorInfo
│   ├── cmd_result.py       # CmdResult (command execution)
│   └── software_models.py  # Input validators (Pydantic)
├── services/               # Business logic layer
│   ├── __init__.py
│   └── software_service.py # SoftwareService class
├── utils/                  # Utility functions
│   ├── __init__.py
│   ├── errors.py           # Error code constants
│   ├── paths.py            # Path utilities
│   └── validate.py         # Input validation helpers
└── tests/                  # Test suite (future)

Architecture Principles

• Separation of Concerns: Each layer has a single responsibility
• Error Handling: Structured error codes for programmatic handling
• Non-Interactive: All operations run asynchronously, suitable for AI agents
• Type Safety: Pydantic models for input/output validation
• Immutability: Frozen dataclasses for reliable state management

🛠️ Available Tools

install_software

Install a software application with automatic version management and tracking.

Parameters:

• software_name (string, required): Name of the software to install

Returns:

• ok (boolean): Success indicator
• data (object): Contains software name, version, and status

Error Codes:

• software_not_found: Software not in database
• already_installed: Software already installed
• invalid_input: Input validation failed
• registry_error: Error saving registry

---

uninstall_software

Remove software from the system with proper cleanup and registry updates.

Parameters:

• software_name (string, required): Name of the software to uninstall

Returns:

• ok (boolean): Success indicator
• data (object): Contains software name and status

Error Codes:

• software_not_found: Software not in database
• not_installed: Software is not currently installed
• invalid_input: Input validation failed
• registry_error: Error saving registry

---

list_installed_software

Display a comprehensive list of all installed software with versions.

Parameters:

• None

Returns:

• ok (boolean): Success indicator
• data (object): Contains installed_software array and count

Response Example:

{
  "ok": true,
  "data": {
    "installed_software": [
      {
        "name": "python",
        "version": "3.11.0",
        "description": "Python programming language"
      }
    ],
    "count": 1
  }
}

---

check_updates

Identify software with available updates.

Parameters:

• None

Returns:

• ok (boolean): Success indicator
• data (object): Contains available_updates array and count

---

update_software

Update a software application to the latest version.

Parameters:

• software_name (string, required): Name of the software to update

Returns:

• ok (boolean): Success indicator
• data (object): Contains old version, new version, and status

Error Codes:

• software_not_found: Software not in database
• not_installed: Software not currently installed
• up_to_date: Already at latest version
• invalid_input: Input validation failed
• registry_error: Error saving registry

---

get_recommendations

Get software recommendations for a specific task or goal.

Parameters:

• task (string, required): Task name (e.g., "web development")

Supported Tasks:

• web development → Python, Node.js, VS Code, Git
• data science → Python, Node.js, Git
• database → MySQL, PostgreSQL, Git
• containerization → Docker, Git
• java development → Java, VS Code, Git
• full stack → Python, Node.js, MySQL, Docker, VS Code, Git

Returns:

• ok (boolean): Success indicator
• data (object): Contains task name, recommendations array, and count

Error Codes:

• software_not_found: Task not found
• invalid_input: Input validation failed

---

set_auto_update

Configure automatic update settings for software.

Parameters:

• software_name (string, required): Name of the software
• enabled (boolean, required): Enable (true) or disable (false) auto-update

Returns:

• ok (boolean): Success indicator
• data (object): Contains software name, auto_update status, and status message

Error Codes:

• software_not_found: Software not in database
• not_installed: Software not currently installed
• invalid_input: Input validation failed
• registry_error: Error saving registry

---

get_software_info

Retrieve detailed information about a software application.

Parameters:

• software_name (string, required): Name of the software

Returns:

• ok (boolean): Success indicator
• data (object): Contains full software details

Response Example:

{
  "ok": true,
  "data": {
    "name": "python",
    "description": "Python programming language",
    "latest_version": "3.11.0",
    "current_version": "3.11.0",
    "installed": true,
    "auto_update": false
  }
}

Error Codes:

• software_not_found: Software not in database
• invalid_input: Input validation failed

---

📋 Supported Software

Software	Latest Version	Category
python	3.11.0	Language
git	2.43.0	VCS
vscode	1.87.2	Editor
nodejs	21.6.0	Runtime
docker	25.0.1	Container
java	21.0.1	Language
mysql	8.3.0	Database
postgresql	16.1	Database

⚙️ Requirements

• Python 3.10+
• MCP-compatible client (Claude Desktop, etc.)
• pydantic >= 2.0.0
• python-dotenv >= 1.0.0

▶️ Running as a Local MCP Server

Installation

1. Clone the repository:

git clone <repository-url>
cd software

2. Install dependencies:

pip install -r requirements.txt

3. Configure Claude Desktop MCP:

Create or edit ~/AppData/Roaming/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "software-management": {
      "command": "python",
      "args": ["/absolute/path/to/software/main.py"]
    }
  }
}

4. Restart Claude Desktop

Testing Locally

python -m pytest tests/

🧾 Error Codes Reference

The MCP server returns structured error codes for programmatic error handling:

Code	Meaning	Common Cause	Recovery
software_not_found	Software not in database	Invalid software name	Check spelling, use list_installed_software
already_installed	Software is installed	Attempting to install twice	Use update_software instead
not_installed	Software not installed	Attempting to uninstall/update non-installed software	Install software first
up_to_date	Already latest version	No update needed	No action required
invalid_input	Input validation failed	Missing/invalid parameters	Verify input format and constraints
registry_error	Registry read/write error	Permissions or disk issues	Check file permissions and disk space
config_missing	Configuration missing	Required env variables	Check settings.py and .env file

🧰 Troubleshooting

1) Installation fails with "Software not found"

Symptom:

{
  "ok": false,
  "error": {
    "code": "software_not_found",
    "message": "Software 'xyz' not found in database"
  }
}

Fix:

• Check software name spelling (case-insensitive)
• Use list_installed_software to see available options
• Verify supported software in the table above

2) Update fails with "Already up to date"

Symptom:

{
  "ok": false,
  "error": {
    "code": "up_to_date",
    "message": "Software 'python' is already up to date (v3.11.0)"
  }
}

Fix:

• This is expected behavior when software is current
• No action needed

3) Recommendation returns empty for unknown task

Symptom:

{
  "ok": false,
  "error": {
    "code": "software_not_found",
    "hint": "Available tasks: web development, data science, ..."
  }
}

Fix:

• Use supported task names from the list
• Task names are case-insensitive
• View all tasks using the recommendations documentation

4) Registry operations fail

Symptom:

{
  "ok": false,
  "error": {
    "code": "registry_error",
    "message": "Error saving registry"
  }
}

Fix:

• Verify file permissions in project directory
• Check available disk space
• Ensure software_registry.json is not corrupted
• Delete registry file to reset (will recreate on next operation)

📊 Software Registry

The system maintains a persistent software_registry.json file that tracks:

• Installed software and versions
• Installation dates
• Auto-update preferences

Example Registry:

{
  "installed_software": {
    "python": {
      "version": "3.11.0",
      "installed_date": "2026-02-18T10:30:00.123456",
      "auto_update": false
    },
    "git": {
      "version": "2.43.0",
      "installed_date": "2026-02-18T10:35:00.654321",
      "auto_update": true
    }
  }
}

🔁 Example Workflow

1. Discover recommendations for a task:

   Call: get_recommendations("web development")
   Result: Receive list of recommended software
   

2. Install recommended software:

   Call: install_software("python")
   Call: install_software("nodejs")
   

3. List installed software:

   Call: list_installed_software()
   Result: View all installed programs and versions
   

4. Check for updates:

   Call: check_updates()
   Result: See available updates
   

5. Update individual software:

   Call: update_software("python")
   Result: Update to latest version
   

6. Enable auto-updates:

   Call: set_auto_update("python", true)
   Result: Enable automatic updates
   

🚧 Future Improvements

The following features would further enhance the server:

• Batch Operations: Install/update multiple software at once
• Dependency Resolution: Automatic installation of software dependencies
• Repository Integration: Support for custom software repositories
• Scheduled Updates: Cron-like scheduling for automatic updates
• Health Checks: Verify installation integrity and functionality
• Rollback: Revert to previous software versions
• Configuration Profiles: Save and restore system configurations
• Multi-Language Support: Localized messages and documentation
• Cloud Sync: Synchronize installations across machines
• Notifications: Alert on successful/failed operations

📄 License

This project is provided as-is for software management and automation purposes.

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Project: MCP - Software Management
Version: 1.0.0
Last Updated: February 2026
Architecture: Layered MCP Server
Status: Production Ready

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