"ERPNext enterprise resource planning software" matching MCP servers:

Exposes Strava training data to Claude for coaching, planning, and analysis via a read-only MCP server with OAuth and Docker support.

Provides interactive, React-based UI apps inside Claude Desktop for tracking workouts, planning trips, budgeting, comparing products, and making decisions with bidirectional communication.

Connects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.

Enables AI assistants to access and analyze intervals.icu training data including activities, fitness metrics (CTL/ATL/TSB), wellness stats, and calendar events. Supports natural language querying of athletic performance for training insights and workout planning.

Enables creating and managing COROS strength, running, and cycling workouts via the Training Hub API, including calendar management, weekly planning, validation, backups, and training analytics.

Exposes Garmin Connect wellness and recovery metrics to MCP-compatible AI assistants for workload planning.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI assistants to access Strava running data, route planning, and weather information for intelligent running coaching.

Enables adaptive marathon training planning through MCP tools, allowing Claude to read and write plan state while the system absorbs real-world disruptions and re-plans from Garmin metrics and manual check-ins.

Connects AI assistants to fitness data from over 150 wearables including Strava, Garmin, and Fitbit through the Model Context Protocol. It provides 47 tools for sports science-based analysis, training load management, recovery tracking, and personalized nutrition planning.

RunMCP is an MCP server for managing a runner's training calendar, letting agents read planning context, propose and apply versioned schedule changes, and log runs and activities with conflict validation.