# Spreadsheet MCP Server

> Use this tool when you need to integrate large language models (LLMs) with Google Spreadsheet data, enabling direct access and interaction with spreadsheet information. It solves problems related to data retrieval, manipulation, and analysis by providing a Model Context Protocol (MCP) server interface. This tool is ideal for use cases requiring seamless communication between LLMs and spreadsheet data, with inputs including spreadsheet IDs and outputs including accessed data.

Canonical page: https://skillsregistry.net/skills/hosakakeigo-spreadsheet-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/hosakakeigo-spreadsheet-mcp-server

## Description

Provides a Model Context Protocol (MCP) server that enables LLMs to directly access and interact with Google Spreadsheet data.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bgj8j18jw2)
- **Repository:** <https://github.com/HosakaKeigo/spreadsheet-mcp-server>

## 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": "hosakakeigo-spreadsheet-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hosakakeigo-spreadsheet-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hosakakeigo-spreadsheet-mcp-server/pull`

---
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
