# io.github.wesseltl/excel-mcp

> io.github.wesseltl/excel-mcp — wesseltl-excel-mcp. Use this tool when you need to extract clean tabular data from complex Excel files with messy layouts or merged cells. It auto-detects header rows and handles irregularities to provide accurate data output. Ideal for AI agents requiring structured data from unorganized Excel sources, it takes in Excel files and outputs clean, usable tables via MCP tools.

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

## Description

Enables AI agents to read real Excel files with messy layouts, auto-detecting header rows and handling merged cells to extract clean tabular data via MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ubvg8vg9h0)
- **Repository:** <https://github.com/wesseltl/excel-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": "wesseltl-excel-mcp"
    }
  }
}
```

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