Rehabilitation Monitoring MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Rehabilitation Monitoring MCP ServerCalculate risk scores for all patients"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Rehabilitation Monitoring MCP Server
An MCP server for rehabilitation monitoring built with the Python SDK.
What it provides
Tools
calculate_patient_risk_scoresidentify_declining_rehabilitation_outcomesgenerate_rehabilitation_reportscreate_patient_alertssearch_rehabilitation_research
Prompts
generate_patient_progress_summariescreate_rehabilitation_monitoring_reportsexplain_risk_classificationsrecommend_follow_up_actions
Resources
rehab://data/patients.csvrehab://data/therapy_sessions.csvrehab://data/wearable_measurements.csvrehab://data/medication_adherence.csvrehab://alerts
Related MCP server: openemr-mcp
Data directory
By default the server reads CSV files from ./data. You can override that with REHAB_DATA_DIR.
Expected filenames:
patients.csvtherapy_sessions.csvwearable_measurements.csvmedication_adherence.csv
Firecrawl research search
The research search tool uses the Firecrawl API. Set:
FIRECRAWL_API_KEYoptionally
FIRECRAWL_API_URLif you use a different endpoint
The tool searches for rehabilitation-related papers and summaries using Firecrawl's research and PDF categories.
Run
uv run rehab-monitorOr connect the script path directly from an MCP host.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/miiakorhonen/rehab-monitor-mcp'
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