Health and biology · MCP server
Google health MCP: MCP server, setup and security
Google health MCP is an open-source MCP server that lets an AI agent access activity, sleep, heart and nutrition data through Google Health. Its repository has 72 stars and its last commit is from October 23, 2026 and it is licensed under MIT.
| Adoption (stars) | 19/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 20/30 |
What Google health MCP does
According to its repository: “Local-first access to the Google Health API for Fitbit and Pixel Watch activity, sleep, heart, nutrition and reconciled health data.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Google health MCP is listed under Health and biology, a category of 37 servers in the directory, where it ranks #14 by stars.
Topics declared by the repository: ai-agents, fitbit, google-health, health-data, local-first, oauth.
Installing and connecting Google health MCP
Distribution modes declared in the official MCP registry:
- npm package (Node.js, usually started with
npx)
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
Points found for Google health MCP:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on May 7, 2026, the davidmosiah/google-health-mcp repository has 72 stars and 11 forks, with 1 open issues. It has more stars than 60% of the servers in the directory. It received changes this month. Version published in the registry: 0.5.2 (July 13, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Google health MCP is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Permissive licence (MIT)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Medplum2.8K ★
- Pyscn1.1K ★
- Biomcp662 ★
- FHIR MCP Server (wso2)136 ★
- HealthChain229 ★
- Walk kcal195 ★
Learn more
Frequently asked questions
How do I install Google health MCP?
Google health MCP is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of davidmosiah/google-health-mcp.
Is Google health MCP free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Google health MCP safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Nothing says so: it is a project published by davidmosiah on GitHub. Check who maintains it before giving it access.
What are the alternatives to Google health MCP?
In the same category: Medplum, Pyscn, Biomcp, and FHIR MCP Server (wso2). Medplum scores higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score