# Sentinel Signal MCP for Healthcare Claims Scoring

> Use this tool when you need to assess and predict healthcare claims outcomes, such as denial risk and reimbursement scoring, to optimize prior authorization and usage. It solves problems related to claims processing and revenue cycle management by providing actionable insights and feedback. The tool accepts healthcare claims data as input and outputs scored claims with associated risk and reimbursement predictions.

Canonical page: https://skillsregistry.net/skills/sentinelsignal-scoring  
JSON: https://api.skillsregistry.net/v1/skills/sentinelsignal-scoring

## Description

Hosted MCP server for denial risk, prior authorization, reimbursement scoring, usage, and feedback. Includes no-signup trial keys and Smithery support.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sentinelsignal/scoring)

## 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": "sentinelsignal-scoring"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sentinelsignal-scoring` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sentinelsignal-scoring/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