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Glama

Server Details

Read wearables and lab health data — sleep, activity, workouts, timeseries, lab tests and orders.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
m190/usefulapi-mcp
GitHub Stars
0

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.8/5 across 21 of 21 tools scored. Lowest: 3/5.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct resource and action: user creation/lookup, connection tokens, summaries for different health domains, lab test/order queries, and timeseries. No two tools appear to serve the same purpose, and the parameters (e.g. data ranges vs. IDs) further differentiate them.

Naming Consistency4/5

All tools use the 'vital_' prefix and snake_case with a verb_noun pattern. Verbs are limited to create/get/list/resolve, and the use of 'get' for both single resources and summary endpoints is consistent enough. Slight deviation: some collection-returning operations use 'get' (e.g., get_workouts) while others use 'list' (e.g., list_orders), but the distinction between catalog listing and data retrieval is logical.

Tool Count4/5

21 tools is above the ideal 3-15 range but fits the breadth of Vital's health data API. The count is justified by the many distinct summary types, lab test management, and user/provider operations. While it feels a bit heavy, the tools are well-scoped and each serves a clear need.

Completeness4/5

The set covers user creation/lookup, connection linking, health data summaries for common domains (activity, body, sleep, meals, menstrual cycle, workouts), timeseries, and lab test/order fetching. Gaps include no tool to create or cancel lab test orders, update/delete users, or disconnect providers, but these may be out of scope for a read-oriented health data server.

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