SQLiteExplorer is an application for manipulating SQLite databases from the command line.
Connect Sqlite to Claude, Cursor or any other MCP client and it stops being a tab you switch to. SQLiteExplorer is an application for manipulating SQLite databases from the command line. The sqlite mcp server is what makes that connection.
SQLiteExplorer is a command-line application designed for the manipulation of SQLite databases. With SQLiteExplorer, you can easily visualize table schemas, execute SQL queries, manage data within tables, and list tables and columns. It provides a convenient and efficient way to interact with SQLite databases directly from the command line.
sqlite-explorer on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Usage — Commands: data Retrieve and print data for a specific table. exec Execute a SQL statement in the database. ls-col List columns for a specific tableAmong the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Sqlite's toolset — Usage — is a fair guide to whether it matches your workflow. It is maintained by Croketillo; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Usage | Commands: data Retrieve and print data for a specific table. exec Execute a SQL statement in the database. ls-col List columns for a specific table. ls-tab List all tables in the database. migrate-file Generates SQL file |
{
"mcpServers": {
"sqlite-explorer": {
"command": "uvx",
"args": ["sqlite-explorer"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.