# CMS Provider Data Catalog MCP

> CMS Provider Data Catalog MCP — theboatymcboatface-pdc-mcp. Use this tool when you need to explore and analyze large healthcare datasets, such as information on hospitals, physicians, and nursing homes, to gain insights and make informed decisions. It allows for querying, aggregating, and benchmarking of data in plain language, solving problems related to healthcare research and policy-making. The tool takes natural language inputs and returns relevant data outputs, making it ideal for use cases that require easy access to complex healthcare data.

Canonical page: https://skillsregistry.net/skills/theboatymcboatface-pdc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/theboatymcboatface-pdc-mcp

## Description

A remote MCP server that lets an LLM explore, query, aggregate, and benchmark the ~234 datasets in the CMS Provider Data Catalog — hospitals, dialysis facilities, nursing homes, home health, hospice, physicians, and more — in plain language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kssmtiwfiy)
- **Repository:** <https://github.com/TheBoatyMcBoatFace/pdc-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "theboatymcboatface-pdc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theboatymcboatface-pdc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theboatymcboatface-pdc-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt