trainingpeaks-mcp vs time

Side-by-side comparison to help you pick between these two MCP servers.

	trainingpeaks-mcp by JamsusMaximus	time by modelcontextprotocol
Stars	★ 65	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	Developer ToolsProductivityhealth	ProductivityDeveloper ToolsCommunication
Language	Python	TypeScript
Last commit	this month	this month

trainingpeaks-mcp · Summary

TrainingPeaks MCP server enables querying workouts, fitness data, and PRs via natural language.

time · Summary

A comprehensive MCP server providing time and timezone conversion tools with automatic system timezone detection.

trainingpeaks-mcp · Use cases

Build structured training workouts with intervals and automatically calculated IF/TSS
Compare FTP progression and fitness metrics (CTL/ATL/TSB) between different periods
Schedule workouts and manage training calendar with natural language commands
Log health metrics and track progress over time

time · Use cases

Assisting with international meeting scheduling across time zones
Providing real-time time information for location-based queries
Enabling time conversion for travel planning and itineraries

trainingpeaks-mcp · Install

Option A: Auto-Setup with Claude Code

If you have [Claude Code](https://claude.ai/code), paste this prompt:

Set up the TrainingPeaks MCP server from https://github.com/JamsusMaximus/trainingpeaks-mcp - clone it, create a venv, install it, then walk me through getting my TrainingPeaks cookie from my browser and run tp-mcp auth. Finally, add it to my Claude Desktop config.

Option B: Manual Setup

Step 1: Install

git clone https://github.com/JamsusMaximus/trainingpeaks-mcp.git
cd trainingpeaks-mcp
python3 -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -e .

Step 2: Authenticate

pip install tp-mcp[browser]  # One-time: install browser support
tp-mcp auth --from-browser chrome  # Or: firefox, safari, edge, auto

Step 3: Add to Claude Desktop

Run this to get your config snippet:

tp-mcp config

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows) and paste it inside mcpServers:

time · Install

Installation Options

**Using uv (recommended):**

uvx mcp-server-time

**Using PIP:**

pip install mcp-server-time
python -m mcp_server_time

**Configure for Claude Desktop:**

{
  "mcpServers": {
    "time": {
      "command": "uvx",
      "args": ["mcp-server-time"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.