Connects Claude to CMS Medicare Part D data through 15 actions covering drug spending, prescriber lookups, and price trend analysis. You can compare two drugs side by side, find generic alternatives with cost differentials, surface price outliers, or break down prescribing patterns by specialty and geography. Deployed on Cloudflare Workers at sub-50ms latency with no API key required. Covers 2024 quarterly spending data plus 2019-2023 annual trends. Useful if you're analyzing healthcare costs, investigating drug pricing stories, or building tools that need Medicare spending intelligence without dealing with CMS's raw data APIs.
15 actions. $200B+ in drug spending data. One tool call.
A Model Context Protocol (MCP) server giving AI assistants instant access to CMS Medicare Part D drug spending, prescriber, and pricing trend data — deployed on Cloudflare Workers with sub-50ms global response times.
Live endpoint: https://mcp-partd.medseal.app/mcp
No API key required. Public CMS data. Zero configuration.
Spending Analysis Get current quarterly spending or full multi-year trend analysis for any Part D drug. Covers 2024 Q1-Q4 quarterly data and 2019-2023 annual trends.
Drug Comparison Compare two drugs side-by-side: total spending, beneficiaries, cost per claim, year-over-year changes, and 4-year CAGR — all in one call.
Price Outlier Detection Surface drugs with the biggest price increases or decreases. Filter by risers, fallers, or both. Powered by CMS year-over-year change data.
Generic Alternative Finder Given any brand-name drug, find all drugs sharing the same generic compound and compare costs per beneficiary. Shows potential savings percentage.
Prescriber Intelligence Look up who prescribes what — by drug name, by state, or by NPI. Aggregate prescribing data with top drugs per provider.
Specialty Breakdown See which medical specialties prescribe a drug the most. Aggregated by provider type with claim counts and cost totals.
Geographic Patterns Prescribing data broken down by state — see where drugs are prescribed most heavily across the US.
Manufacturer Portfolio Look up any drug manufacturer to see their full Part D portfolio: all drugs, combined spending, beneficiary counts.
Dashboard Summary One-call overview of the entire Part D landscape: top drugs by spending, most prescribed by beneficiaries, biggest price movers.
Top Rankings Rank drugs by spending, beneficiaries, or claims. Sortable. Configurable result count.
Add to your Claude Desktop or Claude Code config:
{
"mcpServers": {
"partd": {
"type": "url",
"url": "https://mcp-partd.medseal.app/mcp"
}
}
}
That's it. Start asking about drug spending.
| Action | Purpose |
|---|---|
drug | Get drug spending details (quarterly or annual) |
spending | Full spending analysis with current + trend data |
compare | Side-by-side comparison of two drugs |
outliers | Drugs with biggest price increases/decreases |
generics | Find generic alternatives, compare costs |
specialty | Prescribing patterns by provider specialty |
prescribers | Find prescribers by drug, state, or NPI |
geography | Prescribing patterns by state/region |
manufacturer | All drugs by a manufacturer |
top | Top drugs by spending, beneficiaries, or claims |
search | Search drugs by name |
summary | Dashboard overview of Part D landscape |
stats | Dataset metadata and statistics |
api | Raw CMS Data API escape valve |
help | Full documentation |
{"action": "summary"}
{"action": "compare", "drug": "Ozempic", "drug2": "Mounjaro"}
{"action": "outliers", "direction": "risers", "max_results": 10}
{"action": "generics", "drug": "Humira"}
{"action": "specialty", "drug": "Eliquis"}
{"action": "spending", "drug": "Ozempic"}
{"action": "prescribers", "drug": "Ozempic", "state": "CA"}
{"action": "geography", "drug": "Eliquis"}
{"action": "manufacturer", "manufacturer": "Eli Lilly"}
{"action": "top", "sort": "beneficiaries", "max_results": 20}
{"action": "search", "query": "insulin"}
{"action": "drug", "drug": "Eliquis", "dataset": "annual"}
| Dataset | Period | Records |
|---|---|---|
| Quarterly Spending | 2024 Q1-Q4 | All Part D drugs |
| Annual Spending Trends | 2019-2023 | YoY + 4-year CAGR |
| Prescriber by Drug | 2022 | Provider-level claims |
| Prescriber by Provider | 2022 | Full provider profiles |
| Prescriber by Geography | 2022 | State-level aggregates |
Source: CMS data.cms.gov — updated quarterly, no authentication required.
git clone https://github.com/stayce/partd-mcp-cloudflare
cd partd-mcp-cloudflare
npm install
npm run deploy
No secrets needed. No environment variables. Just deploy.
Part of a growing collection of healthcare MCP servers:
| Server | Data | Actions | Live |
|---|---|---|---|
| partd-mcp | Medicare Part D spending & prescribers | 15 | mcp-partd.medseal.app/mcp |
| icd-mcp | WHO ICD-10 & ICD-11 codes | 12 | mcp-icd.medseal.app/mcp |
| icf-mcp | WHO ICF functioning codes | 6 | mcp-icf.medseal.app/mcp |
Together: diagnosis codes, functioning classification, drug spending, and prescriber data — all accessible to any MCP-compatible AI assistant.
MIT
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