# MCP Excel Reader

> Use this tool when you need to efficiently handle large Excel files, as it provides automatic chunking and pagination for seamless file reading and management. It solves problems related to processing big Excel datasets by enabling features like sheet selection and robust error handling. Ideal for use cases involving large-scale data analysis, reporting, or data migration from Excel files.

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

## Description

Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jr2ggpdk3a)
- **Repository:** <https://github.com/ArchimedesCrypto/excel-reader-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": "archimedescrypto-excel-reader-mcp"
    }
  }
}
```

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