Garmin Connect CLI v2.0.0 Released

What changed

The gccli project has announced its latest release, version 2.0.0, on October 15, 2026. This update signifies a fresh release for the Go-based command-line interface designed to interact with Garmin Connect. The tool provides access to a range of Garmin Connect data, including user activities, health metrics, workout logs, and device details. A key feature of gccli is its ability to output data in JSON format, facilitating easier parsing and integration into other systems. It also incorporates secure credential storage to protect user authentication details.

Furthermore, gccli includes a bundled agent skill specifically designed for AI assistants. This integration aims to allow AI models such as Claude Code, Codex, Hermes, and OpenClaw to interact with Garmin Connect data, potentially enabling natural language queries and data analysis.

Why it matters for builders

This release offers developers a direct command-line interface to Garmin Connect, a platform widely used by athletes and fitness enthusiasts. The JSON output capability is particularly valuable for scripting and automation, allowing builders to extract and process their fitness data for custom dashboards, analysis tools, or integration into other applications. The inclusion of AI assistant skills opens up new possibilities for interacting with personal health data through AI models, potentially simplifying complex data retrieval and interpretation.

Practical impact

Developers can install and use gccli to fetch their Garmin Connect data directly from their terminal. The secure credential storage simplifies the authentication process. For those working with AI assistants, the bundled agent skill could enable new ways to query and understand fitness trends, workout performance, or health statistics using natural language prompts. The project's focus on providing structured JSON output makes it a practical choice for data-driven projects.

Caveats and source limits

The provided repository metadata indicates a recent release (v2.0.0) and highlights its features and AI integrations. However, specific details regarding the exact API endpoints accessed, the full range of commands available, or performance benchmarks are not detailed in the summary. The project's maturity is indicated by a maturity score of 49 and an activity score of 48, with 29 stars and 12 forks on GitHub. The absence of explicit documentation or example files within the package signals might require users to refer directly to the source code for in-depth usage instructions.