# Signal

> Use this tool when you need to integrate secure messaging capabilities into AI systems, enabling them to send and receive messages with users and groups through the Signal protocol. It solves problems related to secure communication, providing a bridge between AI agents and Signal messaging. Ideal for applications requiring encrypted messaging integration, it offers a robust interface for direct and group messaging with support for timeouts and error handling.

Canonical page: https://skillsregistry.net/skills/rymurr-signal  
JSON: https://api.skillsregistry.net/v1/skills/rymurr-signal

## Description

Signal MCP provides a bridge between AI agents and Signal messaging through the signal-cli tool, enabling agents to send messages to users and groups while receiving and parsing incoming communications. Built with modern Python async patterns and comprehensive error handling, this implementation offers tools for direct messaging, group communication, and message reception with timeout support. Particularly valuable for applications requiring secure messaging integration, it allows AI systems to participate in Signal conversations while leveraging the established security features of the Signal protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rymurr-signal)
- **Repository:** <https://github.com/rymurr/signal-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rymurr-signal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rymurr-signal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rymurr-signal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt