Set up totem in LangGraph

communityunknownunknownno verified config · noindex

Model Context Protocol server giving Claude (or any MCP client) full read + write access to your Whoop fitness data via the private reverse-engineered iOS API. 47 tools: recovery, sleep, strain, HRV trends, Strength Trainer, journal, Whoop Coach, and smart alarm. TypeScript + zod, auto-refresh Cognito auth.

01Configuration

# totem 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 totem’s tools appear.

03Other runtimes

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04Provenance

config_sourcegenerated from captured install method

last_checked2026-06-29 07:50Z

sourcesGitHub repo search [p4]

Next step

Ship totem 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