# mcp-excel

> Use this tool when you need to analyze data from Excel and CSV files using natural language queries, eliminating the need for manual SQL writing. It solves problems of data extraction and analysis for AI assistants, enabling them to query data sources without requiring technical SQL expertise. The tool takes natural language inputs and returns relevant data outputs, making it ideal for use cases where data insights are needed quickly and efficiently.

Canonical page: https://skillsregistry.net/skills/ivan-loh-mcp-excel  
JSON: https://api.skillsregistry.net/v1/skills/ivan-loh-mcp-excel

## Description

Enables querying Excel and CSV files using SQL via natural language, allowing AI assistants to analyze data without manual SQL writing.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f332fowtw3)
- **Repository:** <https://github.com/ivan-loh/mcp-excel>

## 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": "ivan-loh-mcp-excel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ivan-loh-mcp-excel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ivan-loh-mcp-excel/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