How to Install SQLite MCP Server in Cursor

SQLite database queries, analysis, and memo storage for local AI workflows

What SQLite MCP Server does

A lightweight but powerful MCP server for SQLite databases. Query local databases, inspect schemas, run aggregations, and store persistent memos — all through natural language with your AI agent. Features: - Full read/write access to SQLite databases - Schema inspection and table listing - Natural language query execution - Built-in memo/note storage system - Business insight generation from query results - No external services required — runs entirely locally - Perfect for local analytics, prototyping, and AI-assisted data exploration Unlike cloud database servers, SQLite MCP requires no credentials or network access — ideal for local development, quick analysis tasks, or building offline-capable AI workflows. Installation uses Python's uvx package runner (part of uv, the fast Python package manager).

sqlite

sql

database

local

analytics

Installation steps

1Copy the config below
2Open or create .cursor/mcp.json
3Paste inside "mcpServers": {}
4Restart Cursor or reload the window

Configuration

File location: .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)

.cursor/mcp.jsonjson

{
  "sqliteMcpServer": {
    "command": "uvx",
    "args": [
      "mcp-server-sqlite",
      "--db-path",
      "/path/to/database.sqlite"
    ]
  }
}

Full server details GitHub Open Config Editor

Install in other clients

🤖Claude Desktop 💻Claude Code 🏄Windsurf ✨OpenAI ♊Gemini

For maintainers

If you maintain SQLite MCP Server, add this badge to your README to show it's verified on CuratedMCP:

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