Schema | Rehabilitation Monitoring MCP Server

Rehabilitation Monitoring MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`REHAB_DATA_DIR`	No	Override the default data directory. Default is ./data	./data
`FIRECRAWL_API_KEY`	Yes	API key for Firecrawl to enable research search tool
`FIRECRAWL_API_URL`	No	Optional custom Firecrawl API endpoint

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
get_patient_informationC	Get patient information from the available rehabilitation data sources.
calculate_patient_risk_scoresB	Calculate rehabilitation risk scores using patient records, therapy sessions, wearable measurements, and medication adherence data.
identify_declining_rehabilitation_outcomesC	Identify patients whose rehabilitation outcomes are declining across the available measurements.
generate_rehabilitation_reportsA	Generate a markdown rehabilitation report for one patient or the whole cohort.
create_patient_alertsB	Create and persist alerts for patients whose rehabilitation risk or declines cross the configured thresholds.
search_rehabilitation_researchC	Search Firecrawl for rehabilitation-related research papers and summaries.

Interactive templates invoked by user choice

Name	Description
`generate_patient_progress_summaries`	Generate a patient progress summary using CSV-backed rehabilitation data.
`create_rehabilitation_monitoring_reports`	Create a rehabilitation monitoring report from the available data.
`explain_risk_classifications`	Explain how the rehabilitation risk classifications are determined.
`recommend_follow_up_actions`	Recommend follow-up actions based on the monitoring data.

Contextual data attached and managed by the client

Name	Description
`patients.csv`	Patient records stored in patients.csv
`therapy_sessions.csv`	Therapy session data stored in therapy_sessions.csv
`wearable_measurements.csv`	Wearable sensor measurements stored in wearable_measurements.csv
`medication_adherence.csv`	Medication adherence records stored in medication_adherence.csv
`alerts.json`	Persisted rehabilitation alerts created by the server

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/miiakorhonen/rehab-monitor-mcp'

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