by priyankark
PhonePi — control SMS, calls and contacts from your favorite AI apps. Seamless phone management for smarter workflows.
Control your phone remotely through AI assistants by sending SMS messages, making calls, managing contacts, and accessing phone features over your local network.
PhonePi is a community-built MCP server published by priyankark that provides AI assistants with tools and capabilities via the Model Context Protocol. PhonePi — control SMS, calls and contacts from your favorite AI apps. Seamless phone management for smarter workflows. It is categorized under communication, developer tools. This server exposes 22 tools that AI clients can invoke during conversations and coding sessions.
You can install PhonePi in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
PhonePi is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired PhonePi into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
PhonePi has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: PhonePi is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated PhonePi against two servers with overlapping tools; this profile had the clearer scope statement.
PhonePi is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired PhonePi into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: PhonePi surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Useful MCP listing: PhonePi is the kind of server we cite when onboarding engineers to host + tool permissions.
PhonePi is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
PhonePi reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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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.
Phone MCP enables you to:
Security is a high concern. Here are a few aspects taken into account around security:
For detailed documentation, features, and setup instructions, please visit: phonepimcp.com
If you encounter any bugs or have feature requests, please open an issue on our GitHub repository. We actively monitor and respond to issues.
We welcome contributions from the community! Here's how you can contribute:
Fork the Repository
Code Style
Testing
Submit a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
If you discover any security-related issues, please open an issue instead of using the issue tracker.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
