Signal
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/rymurr/signal-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Signal from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.