sonu-davinceResolve-mcp
An MCP server that connects LLMs (Ollama, OpenAI, Anthropic) with desktop automation (mouse, keyboard, screenshots) using PyAutoGUI, with exclusive task locking to prevent concurrent execution.
README
license: mit language:
- en tags:
- mcp
- model-context-protocol
- desktop-automation
- llm
- ollama
- openai
- anthropic
- pyautogui
- python pipeline_tag: text-generation library_name: mcp
sonu-davinceResolve-mcp
A Model Context Protocol (MCP) server that acts as a desktop automation assistant. It connects local or cloud LLMs (Ollama, OpenAI, Claude/Anthropic) with desktop automation capabilities (PyAutoGUI mouse, keyboard, shortcuts, screenshots) and implements an exclusive task lock to ensure tasks run to completion without interruption.
Features
- Multi-LLM Router:
- Query local models run through Ollama (e.g. Llama 3, Mistral, Gemma).
- Route query requests to OpenAI (GPT-4o, etc.) and Anthropic (Claude 3.5 Sonnet, etc.).
- Unified interface for all local and cloud prompt routing.
- Desktop Control & Shortcuts:
- Complete keyboard control: write text, press specific keys, or dispatch multi-key hotkey combos (like
Ctrl + Alt + TorCtrl + S). - Mouse control: clicks (left, right, middle), dragging, relative or absolute moves, and scroll wheel actions.
- Screen capture utility to take snapshots and save to files.
- Complete keyboard control: write text, press specific keys, or dispatch multi-key hotkey combos (like
- Exclusive Task Locking:
- Prevent parallel task execution or concurrent client requests.
- Once a task starts via
start_task, an exclusive cross-process lock is acquired. All subsequent automation tools are guarded and verified against this lock. - Once complete,
complete_taskreleases the lock, restoring the server to an idle state.
Architecture Flow
The operational flow of the server is represented in the diagram below:

(For raw vector format, see docs/architecture.svg)
Setup & Installation
1. Prerequisites
- Python >= 3.10
- Ollama (Optional, for running free local models)
2. Install Dependencies
Initialize a virtual environment and install dependencies:
python -m venv venv
source venv/Scripts/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
3. Environment Configuration
Copy .env.example to .env and fill in your API credentials:
cp .env.example .env
Update any API keys:
OPENAI_API_KEY: Required if routing to GPT models.ANTHROPIC_API_KEY: Required if routing to Claude models.OLLAMA_BASE_URL: Defaults tohttp://localhost:11434.
Usage
Run the Server
The server runs over standard I/O (stdio). You can start it using python:
python -m src.server
Or install it as a package and use the console entry point:
pip install -e .
sonu-mcp-server
Client Simulation Test
We provide a standalone test script to simulate client-side tool activation, task locking, mouse movement, key combos, and model list querying:
python examples/client_example.py
MCP Tool Definition Registry
The following tools are exposed by this MCP server:
| Tool Category | Tool Name | Parameters | Description |
|---|---|---|---|
| Lifecycle | start_task |
task_id (str), description (str) |
Start a task and lock the automation session. |
complete_task |
task_id (str), success (bool), details (str) |
Complete the active task and release the lock. | |
get_task_status |
None | Get current active task status. | |
force_unlock |
None | Reset and clear locks in case of error. | |
| Automation | click_mouse |
x (int), y (int), button (str), clicks (int) |
Mouse click at coordinates. Guarded. |
move_mouse |
x (int), y (int), duration (float) |
Cursor move. Guarded. | |
drag_mouse |
x (int), y (int), duration (float), button (str) |
Mouse drag. Guarded. | |
scroll_mouse |
clicks (int) |
Scroll up/down. Guarded. | |
type_keyboard |
text (str), interval (float) |
Type string. Guarded. | |
press_key |
key (str) |
Press single keyboard button. Guarded. | |
press_hotkey |
keys (list[str]) |
Press hotkey combo (e.g. ['ctrl', 'c']). Guarded. |
|
take_screenshot |
filename (str) |
Capture screen snapshot. Guarded. | |
| LLM Router | route_llm_query |
provider (str), model (str), prompt (str), system_prompt (str) |
Query a provider (ollama/openai/anthropic). |
list_llm_models |
None | List active provider models. |
Integration with Claude Desktop
To integrate with Claude Desktop, add the server to your claude_desktop_config.json:
{
"mcpServers": {
"sonu-davinceResolve-mcp": {
"command": "python",
"args": ["-m", "src.server"],
"cwd": "C:/Users/janmw/.gemini/antigravity-ide/scratch/sonu-davinceResolve-mcp",
"env": {
"OPENAI_API_KEY": "your-openai-api-key",
"ANTHROPIC_API_KEY": "your-anthropic-api-key"
}
}
}
}
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