trainingpeaks-mcp vs filesystem

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

	trainingpeaks-mcp by JamsusMaximus	filesystem by modelcontextprotocol
Stars	★ 65	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	Developer ToolsProductivityhealth	File SystemDeveloper ToolsProductivity
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.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

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

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

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:

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

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