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io.github.anthesiallc/meddata

Drug & supplement lookup and interaction checks from free U.S. government health data.

Open source Open in the app JSON README (API)

About

Drug & supplement lookup and interaction checks from free U.S. government health data.

Details

Kind
MCP servers
Topic
Government & public data
Publisher
anthesiallc
Origin
official
Category
ferramentas
Transport
local
Version
0.2.1
Last push
2026-06-20T15:14:55Z
Repository state
ativo
Language
Python
License
MIT
Added
2026-08-29 03:02:25
Updated
2026-08-29 03:02:25
Origin id
io.github.anthesiallc/meddata

README

# MedData MCP Server

mcp-name: io.github.anthesiallc/meddata

A [Model Context Protocol](https://modelcontextprotocol.io) server that exposes the
[MedData API](https://meddata.anthesia.io) as tools, so any MCP client (Claude
Desktop, Cursor, ChatGPT connectors, or an agent framework) can look up drug and
supplement data and check interactions conversationally.

It's a thin wrapper: each tool maps to one MedData REST endpoint. All the data
work happens in the API.

## Tools

| Tool | What it does |
|------|--------------|
| `search_drugs` | Search drugs by brand or generic name; returns RxCUI + details |
| `get_drug` | Full drug profile by RxCUI |
| `get_drug_by_ndc` | Drug profile by NDC package code |
| `search_supplements` | Search supplements by name; returns supplement IDs |
| `get_supplement` | Full supplement fact sheet by ID |
| `check_interactions` | Interactions across a mixed list of 2-10 drugs/supplements |
| `get_usage` | Current billing period usage and plan limit |

## Get an API key

Free tier is 250 calls/month, no credit card:

```bash
curl -X POST https://meddata.anthesia.io/api/v1/signup \
  -H 'Content-Type: application/json' \
  -d '{"email":"you@example.com"}'
```

The key comes back in the `api_key` field of the response.

## Install and run

The easiest way is with [uv](https://docs.astral.sh/uv/) (no manual venv needed):

```bash
# stdio transport (default — for Claude Desktop, Cursor, most local clients)
MEDDATA_API_KEY=md_your_key uvx meddata-mcp

# streamable-HTTP transport (for remote / web clients)
MEDDATA_API_KEY=md_your_key uvx meddata-mcp --http
```

Or install with pip into its own environment:

```bash
pip install meddata-mcp
MEDDATA_API_KEY=md_your_key meddata-mcp
```

> Note: install into a dedicated environment. The `mcp` SDK requires a newer
> `starlette` than the MedData API app pins, so the two will conflict if installed
> together.

Environment variables:

- `MEDDATA_API_KEY` (required) — your MedData API key.
- `MEDDATA_BASE_URL` (optional) — defaults to `https://meddata.anthesia.io`.
- `MEDDATA_TIMEOUT` (optional) — request timeout in seconds, default `30`.

## Client configuration

### Claude Desktop

Add to `claude_desktop_config.json` (Settings → Developer → Edit Config):

```json
{
  "mcpServers": {
    "meddata": {
      "command": "uvx",
      "args": ["meddata-mcp"],
      "env": { "MEDDATA_API_KEY": "md_your_key" }
    }
  }
}
```

### Cursor

Add the same block to `~/.cursor/mcp.json` (or the project `.cursor/mcp.json`).

### Smithery (hosted, no install)

The server is hosted on [Smithery](https://smithery.ai/server/anthesiallc/meddata),
so MCP clients that support Smithery can connect without installing anything. You
provide your MedData API key in the Smithery config and it routes to the server.

### LangChain / LangGraph

Any LangChain or LangGraph agent can use these tools through
[`langchain-mcp-adapters`](https://github.com/langchain-ai/langchain-mcp-adapters):

```python
# pip install langchain-mcp-adapters langgraph "langchain[anthropic]"
from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient(
    {
        "meddata": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["meddata-mcp"],
            "env": {"MEDDATA_API_KEY": "md_your_key"},
        }
    }
)
tools = await client.get_tools()
# hand `tools` to a LangGraph/LangChain agent, e.g.
# from langgraph.prebuilt import create_react_agent
# agent = create_react_agent("anthropic:claude-opus-4-8", tools)
```

LlamaIndex works the same way via its MCP tool spec.

## Develop from source

```bash
git clone https://github.com/anthesiallc/meddata-mcp && cd meddata-mcp
python -m venv .venv
.venv/Scripts/python -m pip install -e ".[http]"   # Windows; [http] adds uvicorn for --http
# .venv/bin/pip install -e ".[http]"                # macOS/Linux
MEDDATA_API_KEY=md_your_key .venv/Scripts/python -m meddata_mcp.server
```

## Notes

- Data is for informational purposes only and is not medical advice.
- Interaction data comes from established medical databases; an empty result
  means none were found in those sources, not that a combination is proven safe.

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