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Glama
asanm11611622ubca006

Patient Data MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_patient_by_idA

Look up a single patient by their unique patient ID.

Args: patient_id: The numeric ID of the patient (e.g. 1, 42, 200).

Returns: The patient record, or a "not found" message.

list_patients_above_ageA

List all patients whose age is strictly greater than the given value.

Args: age: The age threshold. Returns patients older than this number.

Returns: A formatted list of matching patients, or a message if none match.

find_patients_by_diseaseA

Find all patients diagnosed with a specific disease. The search is case-insensitive.

Args: disease: The disease name to search for (e.g. "Diabetes", "asthma").

Returns: A formatted list of matching patients.

list_all_diseasesA

List all unique diseases present in the patient dataset. Useful for discovering what diseases can be queried.

Returns: A sorted list of disease names.

search_patients_by_nameA

Search for patients whose name contains the given text. The search is case-insensitive and supports partial matches.

Args: name: Full or partial patient name to search for (e.g. "john", "Smith").

Returns: A formatted list of matching patients.

get_patient_statisticsA

Get summary statistics for the entire patient dataset. Includes total count, age statistics, gender breakdown, and disease distribution.

Returns: A formatted statistical summary.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.3/5.0

Scored across 6 tools

Disambiguation5/5

Each tool targets a distinct query: by ID, by age, by disease, by name, list diseases, and overall statistics. There is no overlap in their purposes, even though several search patients in different ways.

Naming Consistency3/5

Tool names use a mix of verbs: get, list, find, search. While all are snake_case and readable, the pattern is not consistent across the set (e.g., 'get_patient_by_id' vs 'find_patients_by_disease').

Tool Count5/5

With 6 tools, the server is well-scoped for a read-only patient data querying purpose. Each tool covers a distinct and necessary operation without unnecessary bloat.

Completeness4/5

The set covers all obvious read-only query needs: lookup by ID, filtering by age, disease, name, listing available diseases, and summary statistics. Missing write operations (create/update/delete) may be out of scope, but a generic 'list all patients' could be a minor gap.

Maintenance

ActivityInactive
ResponsivenessNo issues