A Python implementation of Apple-native tools for the [Model Context Protocol (MCP)](https://modelcontextprotocol.com/docs/mcp-protocol), providing
Pyapple mcp mcp server lets Claude, Cursor and other MCP clients work with Pyapple MCP directly. A Python implementation of Apple-native tools for the Model Context Protocol (MCP), providing seamless integration with macOS applications.
A Python implementation of Apple-native tools for the Model Context Protocol (MCP), providing seamless integration with macOS applications.
The server is distributed via PyPI as pyapple-mcp, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Productivity servers pay off through capture: the tasks and notes that never get filed are the ones where opening the app is more friction than the thought is worth. Pyapple MCP sits in that group. Worth comparing against the other productivity servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"pyapple": {
"command": "uvx",
"args": ["pyapple-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.