Allows AI agents to send and receive Signal messages, supporting direct messages to users, messages to groups, and processing of incoming messages with async support and timeout handling.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Signal MCPsend a message to John: 'Meeting at 3pm tomorrow'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Signal MCP
An MCP integration for signal-cli that allows AI agents to send and receive Signal messages.
Features
Send messages to Signal users
Send messages to Signal groups
Receive and parse incoming messages
Async support with timeout handling
Detailed logging
Related MCP server: Interactive Feedback MCP
Prerequisites
This project requires signal-cli to be installed and configured on your system.
Installing signal-cli
Install signal-cli: Follow the official installation instructions
Register your Signal account:
signal-cli -u YOUR_PHONE_NUMBER registerVerify your account with the code received via SMS:
signal-cli -u YOUR_PHONE_NUMBER verify CODE_RECEIVED
For more detailed setup instructions, see the signal-cli documentation.
Installation
pip install -e .
# or use uv for faster installation
uv pip install -e .Usage
Run the MCP server:
./main.py --user-id YOUR_PHONE_NUMBER [--transport {sse|stdio}]API
Tools Available
send_message_to_user: Send a direct message to a Signal usersend_message_to_group: Send a message to a Signal groupreceive_message: Wait for and receive messages with timeout support
Development
This project uses:
MCP for agent-API integration
Modern Python async patterns
Type annotations throughout
This server cannot be installed
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.