iMessage
This MCP implementation enables AI assistants to interact with iMessage on macOS, providing both read and send capabilities. Developed as an open-source project, it bridges the gap between large language models and Apple's messaging platform. The implementation uses TypeScript and leverages the @modelcontextprotocol/sdk for MCP compatibility, along with SQLite for message storage. It's designed for developers and researchers working on conversational AI applications, allowing them to integrate iMessage functionality into their projects. This tool opens up possibilities for automated messaging, chatbots that can operate through iMessage, and AI-assisted communication analysis on the Mac platform.
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
- database
- Source
- PulseMCP
- Repository
- github.com/tchbw/mcp-imessage
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve iMessage 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.