# Insurance Claims Assistant

> Insurance Claims Assistant — youssefmkb-insurance-claims-assistant. Use this tool when you need to automate the processing of car insurance claims, extracting relevant data from accident reports and classifying claim severity. It solves problems related to manual data extraction, claim evaluation, and notification generation, providing inputs such as raw accident reports and outputs including structured claim data and broker notifications. Ideal for use in insurance companies, it streamlines claims processing, reducing manual effort and increasing efficiency.

Canonical page: https://skillsregistry.net/skills/youssefmkb-insurance-claims-assistant  
JSON: https://api.skillsregistry.net/v1/skills/youssefmkb-insurance-claims-assistant

## Description

MCP server that processes car insurance claims by extracting structured data from raw accident reports, classifying severity using a two-model judge pipeline, and generating broker notifications.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djaoamamyb)
- **Repository:** <https://github.com/youssefmkb/insurance-claims-assistant>

## 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": "youssefmkb-insurance-claims-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/youssefmkb-insurance-claims-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/youssefmkb-insurance-claims-assistant/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