Tredict MCP Server Enables Claude to Create and Push Training Plans to Sports Watches
A developer has built a Tredict MCP Server for Claude.ai and Claude Code, using Claude extensively during development to implement the server and its tools. Tredict is a training planning and analytics platform for endurance athletes and coaches that connects with Garmin, Coros, Suunto, Wahoo, and other devices.
Core Functionality
With the Tredict MCP Server added to Claude, users can create complex endurance training plans with structured workouts by prompting Claude with specific questions. These workouts are uploaded directly to connected sports watches via Tredict, ready for execution. This creates a workflow cycle: AI generates plans, user executes them, AI assesses performance, then generates new plans.
Features and Capabilities
- The MCP server includes an MCP App specifically designed for Claude.ai that provides visual and interactive feedback on newly created training plans, embedded directly within the Claude chat interface.
- Users can ask Claude for current running FTP (Functional Threshold Power) and other performance metrics used in running and cycling.
- Claude can provide information about users' best training sessions and discuss training data.
- The developer reports that Claude created "very meaningful and complex plans" during testing, demonstrating strong capability for creating structured workouts.
Setup and Access
The workflow involves connecting your preferred sports watch to Tredict on one side, then letting Claude push structured workouts to it through the MCP server. Tredict offers a free trial for 3 months. Connection instructions for Claude.ai to the Tredict MCP Server are available at: https://www.tredict.com/faq/connect-claude-web-with-tredict/
📖 Read the full source: r/ClaudeAI
👀 See Also
ANE Optimization Through Phone-Steered AI Experiments Shows Kernel Fusion Benefits
A developer ran 55 experiments on Apple Neural Engine optimization, steering the process from their phone using Claude for brainstorming. Key improvements included fusing 3 ANE kernels into 1 mega-kernel, reducing validation loss from 3.75 to 2.49 and step time from 176ms to 96ms.
OpenBridge: Free Open-Source Remote Control for Claude Code via Slack/Discord
OpenBridge is a free, open-source tool that lets you control Claude Code from Slack or Discord, organizing projects as channels and conversations as threads. It runs locally or on a VPS and works with existing Claude Code/Codex subscriptions without extra API fees.
Building a Local Voice AI Assistant with SwiftUI and CSM-1B on Apple Silicon
A developer built mobiGlas, a SwiftUI app that pairs with OpenClaw to enable hands-free conversations via AirPods, using local voice cloning (CSM-1B on M2 Ultra) and no cloud APIs.
Sonicker: Voice Cloning Web App Built with Claude Code in 4 Days
Sonicker is a voice cloning web app that requires only 3 seconds of audio input and supports 10 languages. The developer built it solo in 4 days using Claude Code for the entire frontend, API integration, and deployment.