iMessage
This iMessage MCP server, developed by Sourabh Shirhatti, enables AI assistants to interact with Apple's iMessage platform. Built using Python and leveraging the mcp library, it provides a bridge between AI models and iMessage conversations. The implementation focuses on simplifying iMessage integration, allowing AI to send and receive messages without needing to handle the complexities of Apple's messaging protocols directly. It's particularly useful for creating AI-powered chatbots, automated response systems, or personal assistants that can communicate via iMessage, enabling seamless integration of AI capabilities into users' existing messaging workflows on Apple devices.
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
- api-integration
- Source
- PulseMCP
- Repository
- github.com/shirhatti/mcp-server-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.