# SQLite Cloud MCP Server

> An MCP Server that enables seamless interaction with SQLite Cloud databases using AI models via the Model Context Protocol (MCP). It provides tools for executing SQL queries, managing schemas, running commands, and analyzing query performance.

- **URL:** https://github.com/sqlitecloud/sqlitecloud-mcp-server
- **Category:** MCP Server
- **Tags:** Sqlite Cloud, Sql, Database, Open Source
- **Updated:** 2026-05-07 22:35
- **Canonical page:** https://mcpserver.ever.works/de/items/sqlitecloud-mcp-server

## Details

# SQLite Cloud MCP Server

## Overview

The SQLite Cloud MCP Server enables AI models to interact with SQLite Cloud databases through the Model Context Protocol (MCP). It provides a set of tools for executing SQL queries, managing database schemas, running predefined commands, and analyzing query performance.

## Features

- **Query Execution**: Perform SELECT, INSERT, UPDATE, and DELETE SQL operations on SQLite Cloud databases.
- **Schema Management**: Create tables, list existing tables, and retrieve schema details.
- **Command Execution**: Run predefined commands supported by SQLite Cloud.
- **Performance Analysis**: Identify slow queries, analyze query plans, and reset query statistics.

## Tools

The MCP Server exposes the following tools:

- `read-query`: Perform SELECT queries and fetch results.
- `write-query`: Perform INSERT, UPDATE, or DELETE operations.
- `create-table`: Create new database tables.
- `list-tables`: Display all tables in the database.
- `describe-table`: Retrieve schema details for a specific table.
- `list-commands`: List available commands and access external documentation.
- `execute-command`: Run commands from the list-commands tool.
- `list-analyzer`: Analyze slow queries with optional filters.
- `analyzer-plan-id`: Gather details about query plans and indexes.
- `analyzer-reset`: Reset query statistics for specific queries, groups, or databases.

## Getting Started

1. Create a free account on SQLite Cloud and obtain your Connection String.
2. Ensure Node.js is installed on your machine.
3. Start the server using one of the following methods:
   - Using npx: `npx @sqlitecloud/mcp-server --connectionString <your_connection_string>`
   - After building: `node dist/main.js --connectionString <your_connection_string>`
4. Configure your AI model (e.g., in VSCode) using the provided `.vscode/mcp.json` configuration.

## Development

- Build the package: `npm run build`
- Run after building: `node dist/main.js --connectionString <CONNECTION_STRING>`
- Local testing: Pack the package with `npm pack` and run the packed file.
- Use the MCP Inspector to test stdio and sse transports.

## Requirements

- Node.js (check with `node --version`)
- A valid SQLite Cloud connection string.

## Pricing

The SQLite Cloud MCP Server is free and open-source software. Usage of SQLite Cloud may incur costs based on their pricing plans; refer to SQLite Cloud for details.

## License

This project is open-source and likely licensed under an OSI-approved license (check the repository for details).

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