# sqlite-spreadsheet-sync-mcp

> Use this tool when you need to manage and interact with a SQLite database using a user-friendly spreadsheet-like interface. It solves problems such as complex database querying and editing, and supports use cases like importing Excel/CSV files and managing table structures. The tool accepts natural language inputs and provides database data as outputs, making it ideal for AI assistants to interface with databases in a straightforward and intuitive way.

Canonical page: https://skillsregistry.net/skills/mauricioperera-sqlite-spreadsheet-sync  
JSON: https://api.skillsregistry.net/v1/skills/mauricioperera-sqlite-spreadsheet-sync

## Description

This MCP server enables AI assistants to interact with a SQLite database through a spreadsheet-like interface, supporting operations such as querying, editing, importing Excel/CSV, and managing table structures via natural language.

## Trust

- **Trust score (0–1):** 0.24
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h4kgam5ecj)
- **Repository:** <https://github.com/MauricioPerera/sqlite-spreadsheet-sync>

## 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": "mauricioperera-sqlite-spreadsheet-sync"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mauricioperera-sqlite-spreadsheet-sync` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mauricioperera-sqlite-spreadsheet-sync/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