# io.sentinelsignal/scoring

> Use this tool when you need to automate medical claims processing, prior authorization, and reimbursement validation. It solves problems related to denial management, workflow validation, and batch scoring, providing feedback for improved efficiency. The tool accepts input data and outputs validated claims and reimbursement information, ideal for use in healthcare administrative and financial workflows.

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

## Description

Hosted MCP for denial, prior auth, reimbursement, workflow validation, batch scoring, and feedback.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.sentinelsignal%2Fscoring)
- **Repository:** <https://github.com/sentinelsignal/sentinel-signal-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.sentinelsignal.io/mcp`

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": "io-sentinelsignal-scoring"
    }
  }
}
```

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