Setup guide

Set up trainingpeaks-mcp in LangGraph

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TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.

01Configuration

# trainingpeaks-mcp via LangGraph
# transport: unknown
# launch: the server's install method

LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps

Make sure LangGraph is installed and up to date.
Wire the server into LangGraph using its MCP client API.
Provide any required API keys/credentials as environment variables.
Restart LangGraph and confirm trainingpeaks-mcp’s tools appear.

03Other runtimes

Claude Desktop Cursor Windsurf Cline Continue Goose VS Code OpenAI Agents SDK CrewAI

04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-30 01:02Z

sourcesGitHub repo search [p4]

Next step

Ship trainingpeaks-mcp to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives