# payroll-normalizer-mcp

> Use this tool when you need to standardize disparate payroll data for social insurance calculations, converting messy spreadsheets into a unified 10-column template. It solves problems of inconsistent data formatting and calculation complexities by automatically detecting columns, converting net-to-gross, and merging cross-entity and monthly data. The tool accepts xlsx, xls, and csv files as input and outputs a standardized template for streamlined processing.

Canonical page: https://skillsregistry.net/skills/dingxiang-me-payroll-normalizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dingxiang-me-payroll-normalizer-mcp

## Description

Enables AI tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

## 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:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wuqjq7372o)
- **Repository:** <https://github.com/dingxiang-me/payroll-normalizer-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": "dingxiang-me-payroll-normalizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dingxiang-me-payroll-normalizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dingxiang-me-payroll-normalizer-mcp/pull`

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