blindpilot-mcp

# Blindpilot MCP BlindPilot MCP redefines computer use. Instead of AI wasting time interpreting screenshots, it reads directly on the operating system's UI tree and sends it to the LLM as text, enabling faster, more accurate, and more reliable desktop automation. No screenshot -> AI -> control loop. This project is also compatible with Linux and macOS. ## Installation ### MCP Configuration If `blindpilot-mcp` is published as a Python package, you only need the MCP server name, command, and package executable: ```json { "mcpServers": { "blindpilot": { "type": "stdio", "command": "uvx", "args": ["blindpilot-mcp"] } } } ``` Claude Code: ```bash claude mcp add --transport stdio blindpilot -- uvx blindpilot-mcp ``` MCP UI fields: ```text Name: blindpilot Command: uvx Arguments: blindpilot-mcp ``` If you publish the package under another name, replace `blindpilot-mcp` with that package command. ### Local Development Use this while developing from a local clone. 1. Clone the repository: ```bash git clone <repo-url> cd blindpilot-mcp ``` 2. Copy the absolute path to the project. On Windows PowerShell: ```powershell (Get-Location).Path ``` On macOS or Linux: ```bash pwd ``` 3. No project install is required for local Claude/uvx usage. Claude can run the server through `uvx`, which creates an isolated environment from this project automatically. For local development, you can still install dependencies with uv: ```bash uv sync ``` If you prefer pip: ```bash pip install -r requirements.txt ``` 4. Install optional platform dependencies when needed. Linux accessibility support: ```bash uv sync --extra linux ``` macOS Appium support: ```bash uv sync --extra macos ``` Install every optional dependency: ```bash uv sync --all-extras ``` With pip, use: ```bash pip install ".[linux]" pip install ".[macos]" ``` Windows does not need an extra; pywinauto is installed automatically on Windows. 5. Add the local MCP server t…