PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
What is priyankark phonepi mcp
PhonePi MCP: Turn your phone into a toolbox for AI assistants using Model Context Protocol
A powerful MCP server and companion app that allows you to manage and control your phone remotely using natural language commands via your favorite MCP-supported AI apps such as Cursor and Claude Desktop. This project provides a comprehensive set of tools and APIs to interact with your mobile device programmatically.
Overview
Phone MCP enables you to:
- Manage contacts and messages
- Handle snippets and notes
- Control phone settings and notifications
- Send SMS and make calls
- Share content across apps
- Monitor battery status
- Set timers and reminders
- Find your phone with audio alerts
Security
Security is a high concern. Here are a few aspects taken into account around security:
- You are completely in charge around hosting the MCP server locally. The code is completely open source.
- On the app front, you are in charge of what permissions to give depending on the features you want to use.
- The app and the server are linked over your local network. There's no 3p remote servers involved in linking.
- It is highly recommended you use this app over a secure network. Avoid public networks like airports and restaurants.
- Tailscale is highly recommended for creating a private & secure VPN to connect your phone and desktops
Getting Started
For detailed documentation, features, and setup instructions, please visit: phonepimcp.com
Support & Issues
If you encounter any bugs or have feature requests, please open an issue on our GitHub repository. We actively monitor and respond to issues.
Contributing
We welcome contributions from the community! Here's how you can contribute:
-
Fork the Repository
- Create your own fork of the code
- Make your changes in a new branch
-
Code Style
- Follow the existing code style and conventions
- Include comments where necessary
- Write clear commit messages
-
Testing
- Wait for the maintainer to test your changes
-
Submit a Pull Request
- Provide a clear description of the changes
- Reference any related issues
- Wait for review and address any feedback
License
This project is licensed under the MIT License - see the LICENSE file for details.
Security
If you discover any security-related issues, please open an issue instead of using the issue tracker.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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