AgentIndex icon
AgentIndex
ToolsCategoriesTrendingNewCompare
Submit Tool
ToolsCategoriesTrendingNewCompare
Home/
Data Processing/
samsung-health-mcp
samsung-health-mcp logo

samsung-health-mcp

Active·★ 13·MIT·Updated 2026-09-03

Samsung Health MCP is an unofficial, local-first server designed to parse and expose personal wellness data from Samsung Health CSV/ZIP exports to AI agents. It ensures data privacy by keeping tokens local and never sending health data to the cloud, supporting various health metrics like steps, sleep, and heart rate.

samsung-health-mcp is currently grouped under Data Processing, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Reads Samsung Health CSV/ZIP exports locally. and AI agents (e.g., Claude, Cursor, ChatGPT Desktop, Hermes) analyzing personal health data for daily/weekly summaries.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 13 GitHub stars.

#Samsung Health#Data Export Parsing#Local-first#AI Agent Integration#Wellness Data#Model Context Protocol (MCP)#Node.js#Privacy-preserving
$ Install
$ npx -y samsung-health-mcp-unofficial setup --export-path /path/to/SamsungHealth && npx -y samsung-health-mcp-unofficial doctor
↗ Visit site★ GitHub
01

Features

01Reads Samsung Health CSV/ZIP exports locally.
02Exposes wellness data safely to AI agents via Model Context Protocol (MCP).
03Supports a wide range of health data types including steps, sleep, heart rate, and workouts.
04Local-first design ensures personal data never leaves your machine.
05Automatic re-import and scanning of new exports in a watch folder.
02

Why choose it

+Reads Samsung Health CSV/ZIP exports locally.
+AI agents (e.g., Claude, Cursor, ChatGPT Desktop, Hermes) analyzing personal health data for daily/weekly summaries.
+Covers 7 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Node.js
Runtime
Verified via docs
Model Context Protocol (MCP)
Protocol
Verified via docs
AI Agents
Integration
Verified via docs
Claude Desktop
Client
Verified via docs
Cursor
Client
Verified via docs
ChatGPT Desktop
Client
Verified via docs
05

Quick start

1
$ npx -y samsung-health-mcp-unofficial setup --export-path /path/to/SamsungHealth
2
$ npx -y samsung-health-mcp-unofficial doctor
06

Use cases

↳AI agents (e.g., Claude, Cursor, ChatGPT Desktop, Hermes) analyzing personal health data for daily/weekly summaries.
↳Building local, privacy-preserving personal wellness dashboards or applications.
↳Developers integrating Samsung Health data into custom AI workflows without cloud API access.
↳Keeping health data fresh for analysis by automatically re-importing new exports from a designated folder.
07

How it compares

≈samsung-health-mcp sits in the Data Processing category, so it makes more sense to evaluate it alongside tools like mirascope instead of in isolation.
≈If your main need is closer to "AI agents (e.g., Claude, Cursor, ChatGPT Desktop, Hermes) analyzing personal health data for daily/weekly summaries.", that use case is a better lens for comparison than broad feature checklists alone.
≈samsung-health-mcp uses a MIT license, and community traction are both easier to judge in category context.
08

Alternatives

mirascope logo
mirascope★ 1.5k
LLM abstractions that aren't obstructions
vs →
FinanceToolkit logo
FinanceToolkit★ 5.3k
Transparent and Efficient Financial Analysis
vs →
headroom logo
headroom★ 71.3k
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
vs →
Gemini CLI logo
Gemini CLI★ 106.9k
An open-source AI agent that brings the power of Gemini directly into your terminal. Supports native MCP.
vs →
Flowise logo
Flowise★ 55.5k
Build AI Agents, Visually
vs →
playwright-mcp logo
playwright-mcp★ 37.0k
Playwright MCP server
vs →
firecrawl-mcp-server logo
firecrawl-mcp-server★ 7.4k
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
vs →
ai-agents-from-scratch logo
ai-agents-from-scratch★ 4.7k
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
vs →
See all alternatives →

Related searches

samsung-health-mcp AlternativesBest Data Processing Tools 2026Open Source Data Processingsamsung-health-mcp Tutorialsamsung-health-mcp Vs CompetitorsSamsung HealthData Export ParsingLocal-first

Comments

Log in to leave a comment

No comments yet. Be the first!

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 13
Last commit1w ago
StatusActive
LicenseMIT
CategoryData Processing
Trend (30d)
+0.5↑ 2.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

Deploy on DigitalOcean — Get $200 Free Credit

Ad
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
QYSGitHubBuy me a coffee ☕

Browse by Category

Code AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.