# company-reconcile

> Use this tool when you need to reconcile company data from two tables with fuzzy matching of company names and dates. It solves data inconsistencies and discrepancies by outputting matched, pending verification, and unmatched results, facilitating efficient data reconciliation. The tool takes two tables as input and returns a categorized output, making it ideal for use cases requiring data accuracy and consistency.

Canonical page: https://skillsregistry.net/skills/uerdshds-company-data-mcp  
JSON: https://api.skillsregistry.net/v1/skills/uerdshds-company-data-mcp

## Description

模糊匹配两份表格中的公司名称和日期，输出已匹配、待复核和未匹配三种结果，便于数据对账。

## 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:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tpjcs949zl)
- **Repository:** <https://github.com/uerdshds/company-data-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": "uerdshds-company-data-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/uerdshds-company-data-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/uerdshds-company-data-mcp/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