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Introduces the signalk-mcp-server project, a Model Context Protocol server that enables AI assistants like Claude to interact with SignalK marine data systems through natural language. Key features: - Real-world usage examples from the Satori project - 89 conversations and 252 tool calls analyzed - Demonstrates conversational boat monitoring approach - Tutorial-style guide for getting started - Emphasizes read-only safety and security Includes context document with research findings and conversation analysis for future reference. Generated with Claude Code Co-Authored-By: Claude <[email protected]>
_posts/2025/introducing-signalk-mcp-server-ai-powered-marine-data-access.mdx
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This is cool. I followed along and set it up. I'm excited to play with it more over the week few days.
Love the first half. The end feels like it was written by AI. I would just try to condense it a little.
I would also love to see more examples of what types of things you ask it.
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Pull Request Overview
This PR introduces a comprehensive blog post about the SignalK MCP Server, a new Model Context Protocol implementation that enables AI assistants to interact with marine data systems through natural language. The post serves as both an announcement and tutorial for this innovative integration between SignalK and AI technologies.
Key changes:
- Detailed technical tutorial covering installation across multiple AI platforms (Claude Desktop, ChatGPT Desktop, mobile)
- Real-world usage analysis from a cruising sailboat deployment with 89 conversations and 252 tool calls
- Integration architecture documentation showing how SignalK and InfluxDB MCP servers work together
Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.
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@bkeepers thanks for the review. all comments have been addressed |
Introduces the signalk-mcp-server project, a Model Context Protocol server that enables AI assistants like Claude to interact with SignalK marine data systems through natural language.
Key features:
Includes context document with research findings and conversation analysis for future reference.