Partd Mcp Cloudflare MCP Server

Medicare Part D MCP Server

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.

What Can It Do?

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.

Quick Start

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.

Actions

Examples

{"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"}

Data Coverage

Source: CMS data.cms.gov — updated quarterly, no authentication required.

Target Users

• Health policy analysts — track drug spending trends, identify cost outliers
• Healthcare journalists — investigate pricing patterns, manufacturer portfolios
• Pharmacy benefit managers — compare drug costs, find generic alternatives
• Health IT developers — integrate Medicare spending data into applications
• AI/LLM builders — give your agents Medicare drug intelligence
• Researchers — prescribing patterns by specialty, geography, provider

Key Advantages

• No API key — public CMS data, zero configuration
• Token efficient — single tool with action dispatch, LLMs learn one schema
• Sub-50ms latency — Cloudflare Workers edge network, global deployment
• Analytical depth — not just lookups: comparisons, outlier detection, savings analysis
• 5 CMS datasets — spending, trends, prescribers, providers, geography
• Always current — CMS quarterly updates, 1-hour edge caching

Deploy Your Own

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.

MedSeal MCP Suite

Part of a growing collection of healthcare MCP servers:

Together: diagnosis codes, functioning classification, drug spending, and prescriber data — all accessible to any MCP-compatible AI assistant.

License

MIT