π₯π€ Query MIMIC-IV medical data using natural language through Model Context Protocol (MCP). Transform healthcare research with AI-powered database interactions - supports both local MIMIC-IV SQLite demo dataset and full BigQuery datasets.
Config is the same across clients β only the file and path differ.
{
"mcpServers": {
"m3": {
"env": {
"M3_BACKEND": "bigquery",
"M3_PROJECT_ID": "your-project-id"
},
"args": [
"m3-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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Query MIMIC-IV medical data using natural language through MCP clients
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Query MIMIC-IV medical data using natural language through MCP clients
Transform medical data analysis with AI! Ask questions about MIMIC-IV data in plain English and get instant insights. Choose between local demo data (free) or full cloud dataset (BigQuery).
πΊ Prefer video tutorials? Check out step-by-step video guides covering setup, PhysioNet configuration, and more.
uvx)We use uvx to run the MCP server. Install uv from the official installer, then verify with uv --version.
macOS:
brew install uv
Linux (or macOS without Homebrew):
curl -LsSf https://astral.sh/uv/install.sh | sh
# macOS - enable for GUI apps like Claude Desktop:
sudo ln -s $(which uv) $(which uvx) /usr/local/bin/
Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Verify installation:
uv --version
Skip this if using DuckDB demo database.
Install Google Cloud SDK:
brew install google-cloud-sdkAuthenticate:
gcloud auth application-default login
Opens your browser - choose the Google account with BigQuery access to MIMIC-IV.
Supported clients: Claude Desktop, Cursor, Goose, and more.
|
DuckDB (Demo or Full Dataset) To create a m3 directory and navigate into it run:
If you want to use the full dataset, download it manually from PhysioNet and place it into
Replace Demo dataset (16MB raw download size) downloads automatically on first query. Full dataset (10.6GB raw download size) needs to be downloaded manually. |
BigQuery (Full Dataset) Requires GCP credentials and PhysioNet access. Paste this into your client config JSON file: |