
WHOOP Health Signals
io.github.Yadheedhya06Published by GitHub account Yadheedhya06v0.2.2Updated Oct 24, 2026
Local-first, read-only WHOOP MCP server for recovery, sleep, strain, workouts, and body signals
The publisher's own server: SIGNALS Loyalty Agent Platform
Overview
Local, read-only WHOOP server that gives an assistant your recovery, sleep, strain, workout and body signals as coaching context.
- What you can do
- Read a current snapshot of recovery, latest sleep, strain and latest workout
- Review recovery history with HRV, resting heart rate, SpO2 and skin-temperature trends
- Review sleep history including naps, stages, need, quality and timing
- Review daily cycle strain, calories and average/max heart rate
- Review workout history with sport, duration, strain, heart rate, calories, distance and zone minutes
- When to use it
- Useful when you want an AI client to reason about your WHOOP recovery and training load, for example summarizing the last week of sleep and recovery or comparing HRV trends before planning training. It is meant as coaching context, not medical advice.
- Requirements
- Node.js 18 or newer, a WHOOP account, and a free WHOOP developer application with the listed read scopes plus offline, registered to the loopback callback. Run the auth command once to store a local grant; the client launches the package over stdio via npx. Optional environment variables include WHOOP_CLIENT_ID, WHOOP_CLIENT_SECRET, WHOOP_REDIRECT_URI, WHOOP_CREDENTIALS_FILE and token overrides. Persistent credentials are not supported on native Windows.
Installation
In SourceWeft
- Open WHOOP Health Signals in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
mcp-server-whoop
[npm version] [CI] [CodeQL and secrets] [OpenSSF Scorecard] [license: MIT]
A local-first, read-only Model Context Protocol server for WHOOP. It gives MCP-compatible AI clients compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement signals without sending your WHOOP credentials through a hosted third party.
Why this server
- Standard MCP over stdio, usable by any client that supports local MCP servers
- Local WHOOP OAuth flow with each user's own WHOOP developer application
- Access and rotating refresh tokens remain on the user's machine
- Five focused read-only tools instead of a noisy API dump
- Per-record local timestamps, so travel does not shift sleep or workout dates
- Explicit
processingstatus, with no older recovery substituted while a new sleep is pending - Score-derived metrics appear only for
SCOREDrecords; live current-cycle strain is labeledprovisional_strain - Human-scale hours, minutes, calories, and heart-rate-zone minutes
- No raw identifiers, OAuth secrets, or raw continuous heart-rate claims in tool output
- No hosted relay, telemetry, database, generic HTTP tool, raw SQL, or install lifecycle scripts
- Reproducible tarball security audit, CycloneDX SBOM, CodeQL, Gitleaks, dependency review, and OpenSSF Scorecard
This is an independent community project. It is not affiliated with or endorsed by WHOOP. WHOOP data is useful coaching context, not medical advice.
Requirements
- Node.js 18 or newer
- A WHOOP account
- A free application in the WHOOP Developer Dashboard
- An MCP-compatible AI client
Quick start
- Create a WHOOP developer application and register
http://127.0.0.1:8765/callback. - Enable the five read scopes and
offlinelisted below. - Run
npx -y [email protected] authin a terminal and approve WHOOP access. - Run
npx -y [email protected] statusto confirm the local grant exists. - Add the stdio command
npx -y [email protected]to your AI client's MCP configuration. - Restart or reload the client, then ask:
Use WHOOP to summarize my recovery and sleep from the last 7 days.
The authorization command and the AI client must run as the same operating-system user, or both must set WHOOP_CREDENTIALS_FILE to the same private file. The package never asks you to paste WHOOP tokens into an AI conversation.
The documentation pins an exact reviewed version by default. Use @latest only if you explicitly want your client to follow future releases without reviewing them first.
1. Create your WHOOP application
Create an application in the WHOOP Developer Dashboard and register this exact redirect URL:
Enable these scopes:
offline is required because WHOOP access tokens expire and WHOOP rotates refresh tokens.
2. Authorize locally
Run:
The command prompts for your WHOOP client ID and masks the client secret, opens WHOOP consent in your browser, validates the OAuth state, and saves the resulting grant locally.
Credentials are stored at:
On Linux and macOS, every path ancestor is checked before use, the direct directory is current-user-owned with mode 0700, and the file is a single-link current-user-owned regular file with mode 0600. Override the path with WHOOP_CREDENTIALS_FILE only when every ancestor is trusted and is not a symlink.
Persistent OAuth credentials intentionally fail closed on native Windows. Node.js file modes do not enforce private Windows ACLs, and its standard file APIs cannot guarantee reparse-safe credential writes. Native Windows users can provide a short-lived WHOOP_ACCESS_TOKEN through the MCP process environment, but automatic authorization and refresh-token persistence require WSL, Linux, or macOS until a native credential backend is available.
For headless environments, provide WHOOP_CLIENT_ID, WHOOP_CLIENT_SECRET, and optionally WHOOP_REDIRECT_URI as environment variables before running auth.
The OAuth callback still needs to reach the machine running auth. When authorizing over SSH, create a loopback tunnel from your workstation first:
Then run auth in that SSH session and open its printed WHOOP URL in your workstation browser. Do not pass the client secret as a command-line argument because shell history and process listings may expose it.
Check setup without displaying secrets:
Remove the local grant:
Revoking access in WHOOP account settings is also recommended when you no longer use an integration.
3. Add it to an AI client
Claude Desktop
Add this under mcpServers in Claude Desktop's configuration, then fully restart Claude Desktop:
Claude Code
Cursor, Windsurf, Gemini Code Assist, and other mcpServers clients
Add the server to the client's MCP JSON. Gemini Code Assist uses ~/.gemini/settings.json; other clients choose their own settings path.
VS Code
Create .vscode/mcp.json for a project, or use VS Code's MCP: Add Server command:
Codex
Either run:
Or add this to ~/.codex/config.toml:
ChatGPT
Local Codex and ChatGPT desktop clients that support stdio can use the Codex configuration above. ChatGPT web does not launch a command on your computer; it requires a separately secured remote bridge or tunnel and a workspace plugin. This repository intentionally does not ship or operate a public health-data relay.
Client menus and configuration paths change over time. If a client supports standard local stdio MCP, the portable values are always:
Confirm the connection
After restarting the client, confirm that it discovers exactly these five tools:
Useful prompts:
Use WHOOP to review today's recovery, latest sleep, current strain, and latest workout.Compare my recovery, HRV, and resting heart rate over the last 14 days.Show my last 7 days of sleep, including naps, and flag anything still processing.Summarize my workout strain and heart-rate zones for the last 30 days.Use WHOOP as context for today's training, but do not treat it as medical advice.
The model decides when to call tools, so explicitly say Use WHOOP when you want live data rather than a general answer.
Tools
All tools are marked read-only, non-destructive, and idempotent.
Why deliberately only five tools?
For a health-data MCP, a larger tool count also means a larger capability surface. This server keeps authentication outside the agent and gives the model only the five health-reading capabilities it needs.
It intentionally has:
- no WHOOP write, revoke, token-management, or authorization-code tools
- no profile/email/name scope
- no raw-record, raw-ID, arbitrary endpoint, SQL, file, or shell tool
- no hosted OAuth relay, telemetry service, health-data cache, or database
- no stale-recovery fallback when the newest sleep is still processing
The goal is not maximum WHOOP API coverage. It is the smallest practical authority boundary for recovery-aware AI.
Data semantics
WHOOP returns absolute timestamps plus a timezone_offset on sleep, cycle, and workout records. This server applies each record's own offset and returns only already-converted local timestamps such as:
It does not apply the machine's current timezone to historical records.
WHOOP exposes activity type and workout sport, but its public API does not indicate whether a workout was auto-detected or manually started. This server does not guess.
When the newest primary sleep is still PENDING_SCORE, the latest overview returns:
An older recovery is never presented as current.
Environment variables
Client configuration from WHOOP_CLIENT_ID, WHOOP_CLIENT_SECRET, and WHOOP_REDIRECT_URI overrides file values. Token environment variables can bootstrap a headless setup, but once a refresh token rotates, the newer token persisted in the credential file takes precedence. Do not put secrets directly in command-line arguments or commit them to source control.
Troubleshooting
Missing WHOOP ...
Run npx -y [email protected] status as the same OS user that launches the AI client. If the credentials are elsewhere, set WHOOP_CREDENTIALS_FILE in the client's MCP environment.
WHOOP reports a redirect mismatch
The redirect in the Developer Dashboard and the value used by this package must match exactly. The default is http://127.0.0.1:8765/callback, including scheme, host, port, and path.
The browser does not open
Copy the authorization URL printed in the terminal and open it manually. The callback listener expires after five minutes; rerun auth if needed.
Port 8765 is already in use
Register another loopback URL such as http://127.0.0.1:9876/callback, set WHOOP_REDIRECT_URI to that exact value, and rerun auth.
Recovery is null
Check the returned status.state. If it is waiting_for_whoop or waiting_for_recovery, WHOOP has not finished scoring the newest sleep. The server intentionally refuses to label an older recovery as current; retry after WHOOP finishes processing.
The client shows no tools
Run npx -y [email protected] --help in a terminal to verify Node.js and npm can launch the package, then restart the AI client and inspect its MCP logs. Do not run the bare server interactively to inspect output: stdio is reserved for MCP protocol messages.
Development
Run the local source server:
Build and inspect the exact npm artifact:
Privacy and security
This project publishes evidence rather than claiming that any package is perfectly safe. See the full security policy and reproducible security evidence.
- Every user owns their WHOOP developer app and OAuth grant.
- Credentials stay local and are never returned through MCP tools.
- The package provides no WHOOP write, generic network, shell, filesystem, or raw API passthrough tool.
- On supported POSIX storage, the credential file and every ancestor are checked against symlinks, unsafe ownership or permissions, oversized input, and unexpected fields. Refresh rotation uses a heartbeat lease that does not trust PIDs, an exclusive temporary file, atomic replacement, post-write verification, and disk sync. Native Windows persistence fails closed.
- WHOOP and OAuth responses are size-bounded and structurally validated; provider response bodies are never copied into MCP errors.
- Direct dependencies use exact versions. There are only two direct runtime dependencies and no package install lifecycle scripts.
- CI runs the full test suite on Node 18, 20, 22, and 24, adds macOS and Windows platform-security jobs, audits both source and the exact compiled npm runtime, verifies npm registry signatures, and generates a CycloneDX SBOM.
- Independent workflows run CodeQL, Gitleaks, dependency review, and OpenSSF Scorecard.
- The publish workflow packs once and publishes that exact tarball through npm Trusted Publishing with Sigstore provenance. GitHub separately attests that tarball against its CycloneDX SBOM; no long-lived npm token is used.
These controls reduce risk, but they are not a paid penetration test or a guarantee. The limitations are documented explicitly in SECURITY-EVIDENCE.md.
License
MIT
Source: README.md at commit f0926f4
Tools
0Version history
1- v0.2.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Other Signals integrations

SIGNALS Loyalty Agent Platform
global.signalsOfficial publisher
A remote MCP server giving assistants 63 tools for loyalty programs, rewards and member operations, with human-in-the-loop approval.
Chaos — OKX Perpetual Signals
tw.okxOfficial publisher
Remote MCP server that gives an assistant trend and order-flow signals, indicator series and backtests for OKX USDT perpetual swaps, paid per call.

Greenhouse, Lever & Ashby Jobs (by flyingkiwi)
Published by GitHub account flyingkiwi-tools
Greenhouse, Lever & Ashby Jobs (by flyingkiwi)'s hosted MCP server; credential required; Streamable HTTP.

E-commerce Sales Signals MCP
Published by GitHub account GeminiGeorge22
E-commerce sales signals: Amazon bestsellers and reviews, eBay sold prices, TikTok Shop, Etsy sales.

QSignals AI Stock Scores
Published by GitHub account jiahongq
Remote QSignals server that gives an assistant 0-100 stock scores, signals and market-regime data for US stocks and ETFs.