Set it up
- 1
Turn on SQLite in your AI
In Claude: open Settings → Connectors and add SQLite. In ChatGPT: Settings → Apps & Connectors.
- 2
Add it to your app once
Copy the short config below into your app. It just tells your AI where to find SQLite.
- 3
Just ask
Tell it what you want in plain words — no special commands.
For example, say
“Open the SQLite database file at ./data.db and describe what's inside”
Need the exact config? Show it +
Add to your client
{
"mcpServers": {
"sqlite": {
"command": "uvx",
"args": ["mcp-server-sqlite", "--db-path", "/path/to/your.db"]
}
}
}Paste into your client's MCP configuration file.
Quick skills
Copy one, paste it to your AI, watch it work.
Database File Exploration
“Open the file data.db and tell me what tables are in it and what they seem to store”
Local App Debugging
“Show me the last 20 entries in the messages table from this app.db file”
Quick Data Analysis
“Calculate the average transaction amount per month from the transactions table”
Good to know
- · SQLite locks the file while writing — other processes can't write simultaneously
- · The file path the server uses must be readable by the process running the MCP server
- · No type enforcement by default — columns can hold mixed types unless STRICT mode is on
When to use
- ✓ You have a .db or .sqlite file and want to explore its contents
- ✓ You're debugging a local app that stores data in SQLite (Electron apps, mobile backups)
- ✓ You need a zero-setup database for AI to manipulate during a task
- ✓ You're learning SQL and want a local sandbox
When not to use
- × You're working with multi-user production databases (use Postgres or MySQL)
- × You need high write concurrency — SQLite is single-writer
- × You need network access — SQLite is file-based only
About
Imagine pointing your AI at a SQLite file and asking: 'What's in this database?' or 'Find all rows where amount is over 100' — and it reads the file directly. This server lets your AI open and query SQLite database files through conversation — great for exploring exported data, legacy systems, or local app databases.
The official SQLite MCP server gives AI assistants direct access to local SQLite databases. Execute queries, inspect schemas, insert and update records, and perform data analysis — all through natural language that gets translated to proper SQL.
Ideal for local data exploration, prototype databases, and development workflows.
Workflows That Use SQLite MCP
Works With
Also Consider
FAQ
What does SQLite MCP do? +
Imagine pointing your AI at a SQLite file and asking: 'What's in this database?' or 'Find all rows where amount is over 100' — and it reads the file directly. This server lets your AI open and query SQLite database files through conversation — great for exploring exported data, legacy systems, or local app databases.
Do I need to know how to code? +
No. Turn it on in your AI's settings and ask in plain English — no terminal, no coding.
When should I use SQLite MCP? +
Reach for it when you need to: You have a .db or .sqlite file and want to explore its contents; You're debugging a local app that stores data in SQLite (Electron apps, mobile backups); You need a zero-setup database for AI to manipulate during a task; You're learning SQL and want a local sandbox.
When should I avoid SQLite MCP? +
Skip it when: You're working with multi-user production databases (use Postgres or MySQL); You need high write concurrency — SQLite is single-writer; You need network access — SQLite is file-based only.
How do I install SQLite MCP? +
In Claude Code, run: claude mcp add sqlite -- uvx mcp-server-sqlite --db-path /path/to/your.db. Copy-paste configs for Claude Desktop, Cursor, and Windsurf are at the top of this page.
