Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

I just built a MCP Server that connects Claude to all your wearables

Details

External ID
47658617
Source
HN
Company
—
Product
I just built a MCP Server that connects Claude to all your wearables
Website domain
pacetraining.co
Launched
April 6, 2026
Cohort
—
Upvotes
20
Upvotes percentile
0.7506426735218509
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hey HN,I built Pace, a Claude Connector that lets you connect all your wearables (Garmin, Polar, Whoop, 20+) with Claude.You connect your devices once and can analyze your data with Claude. No Dashboard needed, just in natural language. I already use it everyday, especially the visualization tool in Claude makes this really cool to use.Tools include: overview, sleep, training, activity, samples and trends.Tech Stack: Python (FastMCP), Google Cloud Run, Google Cloud SQL (PostgreSQL) and FirebaseIt is live and free to try (no Claude Pro/MAX Plan needed)..Would love feedback, especially from people who've built MCP servers or use wearables seriously.

Enrichment

Theme
utilities for Claude and Claude Code
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
mcp server connecting claude to wearables
Manually corrected
False

Could you build this?

Partial An MCP server wrapper is trivial to code, but integrating 20+ wearable hardware ecosystems requires commercial developer enterprise agreements, OAuth integrations, or paying for unified health aggregator APIs.

What it would actually take: Building a universal wearable bridge requires integrating with proprietary, gated APIs like Garmin Health, Polar AccessLink, and Whoop, which typically require registered business entities, enterprise compliance, and NDA agreements, or using an aggregator like Terra API or Vital. The system needs an OAuth token refresh service, normalized time-series data pipelines, and a Model Context Protocol (MCP) server layer exposing structured tool definitions for Claude. It demands enterprise API partner management and handling heterogeneous biometric time-series schemas.

Discussion

13 comments analyzed.

Competitors mentioned: Garmin MCP, TrainingPeaks MCP, Zepp (fitness app), Whoop, Withings

Concerns raised: Apple Watch and Mi Band not yet supported, Query performance with 90 days of sleep data, Rate limits on provider APIs (Garmin 25 req/15 min), Perceived latency in tool calls (300ms per call), Device connection issues

Feature requests: Apple Watch integration, Mi Band integration, Full workout trace exports, Combine data from multiple wearable devices in one account

Competitors

Other products that read as similar to this one — 90 launches clear the similarity bar, closest 8 shown.

Attention rank: #30 of 91 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 156 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.