WHOOP MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WHOOP as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to WHOOP. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in WHOOP?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About WHOOP MCP Server
Connect your WHOOP account to any AI agent and access your personal health data through natural conversation.
LlamaIndex agents combine WHOOP tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Profile — View your WHOOP profile and body measurements (height, weight, max HR)
- Cycles — Browse your 24-hour WHOOP cycles combining sleep, strain and recovery
- Sleep — Analyze sleep data with stages (light, deep, REM), duration and performance
- Recovery — Track recovery scores, HRV, resting heart rate and sleep balance
- Workouts — Review workout data with strain, heart rate zones, duration and calories
- Pagination — Navigate through historical data with date ranges and pagination tokens
The WHOOP MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect WHOOP to LlamaIndex via MCP
Follow these steps to integrate the WHOOP MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from WHOOP
Why Use LlamaIndex with the WHOOP MCP Server
LlamaIndex provides unique advantages when paired with WHOOP through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WHOOP tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WHOOP tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WHOOP, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WHOOP tools were called, what data was returned, and how it influenced the final answer
WHOOP + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WHOOP MCP Server delivers measurable value.
Hybrid search: combine WHOOP real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WHOOP to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WHOOP for fresh data
Analytical workflows: chain WHOOP queries with LlamaIndex's data connectors to build multi-source analytical reports
WHOOP MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect WHOOP to LlamaIndex via MCP:
get_body_measurement
Useful for tracking physical metrics alongside your WHOOP data. Get your body measurement data
get_cycle
Includes sleep, recovery, strain and heart rate metrics for that 24-hour period. Get a specific WHOOP cycle by ID
get_cycle_recovery
Includes recovery score, resting heart rate, HRV (heart rate variability), sleep balance and strain balance. Get recovery data for a specific WHOOP cycle
get_cycle_sleep
Includes sleep duration, stages (light, deep, REM, awake), disturbances and sleep performance percentage. Get sleep data for a specific WHOOP cycle
get_cycles
Cycles represent 24-hour periods of recovery and strain data. Each cycle includes sleep, recovery, strain and heart rate metrics. Supports date range filtering with start/end in ISO 8601 format. Pagination: max 25 results, use nextToken for more. Get your WHOOP cycle data
get_profile
Use this to verify your authentication is working and get your user ID for other endpoints. Get your WHOOP profile info
get_recovery
Supports date range filtering. Pagination: max 25 results per request. Get your WHOOP recovery data
get_sleep
Supports date range filtering. Pagination: max 25 results. Get your WHOOP sleep data
get_sleep_by_id
Includes full sleep stages, disturbances, respiratory rate and sleep performance. Get a specific WHOOP sleep record by ID
get_workout
Includes strain score, duration, heart rate zones, calories burned and GPS data if available. Get a specific WHOOP workout by ID
get_workouts
Supports date range filtering. Pagination: max 25 results. Get your WHOOP workout data
Example Prompts for WHOOP in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WHOOP immediately.
"Show me my recovery score from today."
"How did I sleep last night?"
"Show me my workouts from this week."
Troubleshooting WHOOP MCP Server with LlamaIndex
Common issues when connecting WHOOP to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWHOOP + LlamaIndex FAQ
Common questions about integrating WHOOP MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect WHOOP with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WHOOP to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.