# pending-medicare-mcp

> pending-medicare-mcp — unitedideas-pending-medicare-mcp. Use this tool when you need to access a validated preview of newly enrolled behavioral-health NPIs in Medicare, including state and specialty counts. It provides read-only access to pending first-time Medicare enrollment files, solving problems related to tracking and verifying new enrollments. The tool accepts no inputs and outputs public preview data, making it ideal for use cases requiring up-to-date information on pending Medicare enrollments.

Canonical page: https://skillsregistry.net/skills/unitedideas-pending-medicare-mcp  
JSON: https://api.skillsregistry.net/v1/skills/unitedideas-pending-medicare-mcp

## Description

Read-only MCP server providing a validated public preview of behavioral-health NPIs newly present in CMS pending first-time Medicare enrollment files, including state/specialty counts and official methodology.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eqk9lym616)
- **Repository:** <https://github.com/unitedideas/pending-medicare-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": "unitedideas-pending-medicare-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unitedideas-pending-medicare-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unitedideas-pending-medicare-mcp/pull`

---
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