SQLite
Summary
Query, modify, and analyse a local SQLite database file directly from an AI client.
Features
- Query and modify a local SQLite database
- Schema inspection and table creation
- Built-in business-intelligence prompt for analysis
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
The reference SQLite MCP server gives an assistant full access to a local database file — read, write, and schema operations — with no server process to run.
What it exposes
- Read and write queries against the database, including creating tables and inserting rows
- Schema inspection — list tables, describe columns, and understand relationships
- An analysis prompt that guides the assistant through exploring a dataset and reporting findings, which is a genuinely useful starting point for ad-hoc analysis
Where it fits
SQLite is the natural format for anything small enough to be a file: exported data, local application state, scratch analysis, or a quick store an agent builds for itself. This server makes all of that directly addressable.
Because it allows writes, point it at a copy rather than the live database backing an application — the same advice as for any tool that will happily run DROP TABLE.
Installed with uvx mcp-server-sqlite --db-path path/to/file.db. Part of the MCP reference server collection.
Related MCP Servers
DBHub
by Bytebase
A universal database MCP server — one integration for PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB.
MongoDB
by MongoDB
MongoDB's official MCP server — query databases, explore schemas, and manage Atlas clusters from an AI client.
Upstash Redis
by Upstash
Run Redis commands against Upstash's serverless Redis over HTTP, with documentation search built in.
dbt
by dbt Labs
dbt Labs' official MCP server — explore project metadata, run dbt commands, and query the Semantic Layer.