# Claims Data MCP Server

> Claims Data MCP Server — rutvikmerai-claims-ai-analyst. Use this tool when you need to analyze healthcare claims data using natural language queries, enabling users to ask plain English questions and receive answers backed by real database queries. It solves problems related to data analysis and insight generation by providing a user-friendly interface to a SQLite database with read-only SQL tools. The tool takes natural language inputs and outputs relevant data and insights, making it ideal for use cases where complex data queries need to be simplified.

Canonical page: https://skillsregistry.net/skills/rutvikmerai-claims-ai-analyst  
JSON: https://api.skillsregistry.net/v1/skills/rutvikmerai-claims-ai-analyst

## Description

Enables natural language querying of healthcare claims data by exposing a SQLite database with read-only SQL tools, allowing users to ask questions in plain English and get answers backed by real database queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r3g4489wat)
- **Repository:** <https://github.com/Rutvikmerai/claims-ai-analyst>

## 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": "rutvikmerai-claims-ai-analyst"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rutvikmerai-claims-ai-analyst` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rutvikmerai-claims-ai-analyst/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