personal-health-mcp (okizuka-hitts/personal-health-mcp) is an MCP server listed on the M8ven Trust Index. It scores 67 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

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C
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67/100

personal-health-mcp

Fetches body composition data (weight, body fat percentage) from the Tanita Health Planet API and exposes it as MCP tools for AI agents like Claude Desktop.

→ okizuka-hitts/personal-health-mcp· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

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Who stands behind it

okizuka-hitts

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: HEALTH_PLANET_CLIENT_SECRET, HEALTH_PLANET_ACCESS_TOKEN, HEALTH_PLANET_REFRESH_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configSQLITE_DB_PATH
configLOG_LEVEL
configCACHE_TTL_SECONDS
configHEALTH_PLANET_CLIENT_ID.env を編集して ・HEALTH_PLANET_CLIENT_SECRET・HEALTH_PLANET_REDIRECT_URI を設定してください。
🔐 secretHEALTH_PLANET_CLIENT_SECRET.env を編集して HEALTH_PLANET_CLIENT_ID・・HEALTH_PLANET_REDIRECT_URI を設定してください。
configHEALTH_PLANET_REDIRECT_URI.env を編集して HEALTH_PLANET_CLIENT_ID・HEALTH_PLANET_CLIENT_SECRET・ を設定してください。
🔐 secretHEALTH_PLANET_ACCESS_TOKEN
🔐 secretHEALTH_PLANET_REFRESH_TOKEN
configHEALTH_PLANET_TOKEN_EXPIRES_AT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

5/5 tools missing one or more hints — get_latest_body_composition (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_body_composition (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_measurements_range (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

Only 1/5 tool handlers declare input schemas (20%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 0/5 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/okizuka-hitts/personal-health-mcp)](https://m8ven.ai/mcp/okizuka-hitts/personal-health-mcp)
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commit: e5b7cd96edd6922dbe29b07c0d06743bc283356d
code hash: 7ef27297c6e4eb1a5fd71e06c31eb213ef078e977a38882cfa5cd594f262280b
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