SQLite MCP
Query SQLite databases directly from your AI
BestMCPTools
SQLite MCP
bestmcptools.org
Maintenance status
ArchivedArchived: the MCP project moved this reference server to modelcontextprotocol/servers-archived and no longer maintains it.
How to Install SQLite MCP
$npx @modelcontextprotocol/server-sqliteRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
Setup by client
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"sqlite-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/server-sqlite"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"sqlite-mcp": {
"command": "npx",
"args": [
"@modelcontextprotocol/server-sqlite"
]
}
}
}VS Code (.vscode/mcp.json)
{
"servers": {
"sqlite-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"@modelcontextprotocol/server-sqlite"
]
}
}
}Claude Code (terminal)
claude mcp add sqlite-mcp -- npx @modelcontextprotocol/server-sqliteAdd any API keys or environment variables the server's README lists.
About SQLite MCP
Lightweight SQLite MCP, perfect for local analytics and prototyping. When you outgrow a local file, connect MySQL to Claude or move to Postgres.
SQLite MCP is a Database MCP server designed for developers, analysts, and data teams. It enables querying and managing databases from an AI assistant by exposing schema introspection and SQL execution as MCP tools. Key capabilities include schema introspection across tables and views, parameterised sql execution, read-only and read/write modes, and structured tool calls that work cleanly inside an LLM context. It integrates with Postgres, MySQL, SQLite, MongoDB, Redis, BigQuery, and Snowflake, and is best suited for developers, analysts, and data teams who need ad-hoc analytics without a bi tool.
Key Features
- sqlite
- sql
- local
- Schema introspection across tables and views
- Parameterised SQL execution
- Read-only and read/write modes
Pricing
Open Source: from Free
Pros & Cons
Pros
- Lets the assistant write and run real queries instead of guessing
- Read-only mode is safe to point at production-shaped data
- Skips most ORM and CSV-shuffling boilerplate
Cons
- Misconfigured permissions can expose sensitive data
- Long-running queries need explicit timeouts
- Schema drift requires reconnecting or refreshing context
Best For
- Ad-hoc analytics without a BI tool
- Drafting migrations and reviewing query plans
- Letting non-SQL teammates ask questions of a database
- Bootstrapping internal admin workflows
Our Take on SQLite MCP
Perfect for analyzing local data files. Hard to beat for prototyping.