WHOOP
WHOOP MCP server implementation by nissand that provides AI assistants with access to the complete WHOOP fitness API through 18 tools covering authentication, user profiles, physiological cycles, recovery data, sleep tracking, and workout analysis. Built with TypeScript and the Model Context Protocol SDK, the implementation includes OAuth 2.0 flow management, comprehensive type definitions for all WHOOP data structures, and pagination support for large datasets, with example scripts demonstrating both basic data retrieval and advanced analytics like sleep pattern analysis, workout breakdowns, and personalized health recommendations. Designed for fitness applications, health coaching workflows, and personal wellness tracking where detailed biometric data analysis and insights generation are needed from WHOOP wearable devices.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/nissand/whoop-mcp-server-claude
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve WHOOP from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.