Real World Evidence

by soundarmoorthy

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RWE tool Browse Real World Evidence MCP Server for Claude, Cursor, VS Code, and other AI agents.

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Author
soundarmoorthy
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Setup

Install Real World Evidence in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/soundarmoorthy/mcp_rwe

Follow the installation instructions in the repository README, then restart your MCP client.

Disclaimer– All data is synthetically generated for demonstration purposes only. Donotuse for clinical or regulatory decisions.

cd rwe_mcp_server pip install -r requirements.txt

The server starts onStreamable HTTPat:

- MCP endpoint:http://127.0.0.1:9090/mcp
- Health endpoint:http://127.0.0.1:9090/health

You can override the bind address, port, or transport:

MCP_HOST=0.0.0.0 MCP_PORT=9090 python server.py MCP_TRANSPORT=stdio python server.py

Open (or create)claude_desktop_config.json:

Add the server entry below (replace/absolute/path/to/with your actual path):

{ "mcpServers": { "rwe-life-sciences": { "command": "python", "args": ["/absolute/path/to/rwe_mcp_server/server.py"], "env": { "MCP_TRANSPORT": "stdio" } } } }

If you use a virtual-environment interpreter:

{ "mcpServers": { "rwe-life-sciences": { "command": "/absolute/path/to/.venv/bin/python", "args": ["/absolute/path/to/rwe_mcp_server/server.py"], "env": { "MCP_TRANSPORT": "stdio" } } } }

Restart Claude Desktop. The πŸ”§ tool icon should showrwe-life-sciencesconnected.

- Type 2 Diabetes
- Hypertension
- Heart Failure
- COPD
- Asthma
- Atrial Fibrillation
- Major Depressive Disorder
- Rheumatoid Arthritis
- Chronic Kidney Disease
- Obesity

Show me the real-world evidence for Type 2 Diabetes across all dimensions. What is the geographic distribution of Heart Failure patients in the Northeast between 2020 and 2024? Compare the longitudinal trend for COPD from 2018 to 2024. Break down Hypertension prevalence by age and gender only.
{ "metadata": { ... }, // source, condition, ICD-10 codes, caveats "summary": { ... }, // total cohort KPIs "by_age": [ ... ], // one row per age group "by_gender": [ ... ], // one row per gender "by_geography": [ ... ], // regions β†’ states "longitudinal": [ ... ] // one row per year }
rwe_mcp_server/ β”œβ”€β”€ server.py # MCP server + tool implementation β”œβ”€β”€ requirements.txt # Python dependencies (mcp) └── README.md # This file

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