MCP Server for SQLite is a free, self-hosted solution that connects AI tools to your SQLite databases. It makes database content accessible through natural language, so users can find information and examine database structures without building a dedicated AI integration.
Devart MCP Server for SQLite connects AI assistants and agents to SQLite databases through the Model Context Protocol (MCP). This free, self-hosted solution lets AI tools work with data stored in SQLite files, inspect database structures, and answer natural-language questions without requiring a custom AI-to-database integration.
At the connectivity layer, MCP Server uses Devart ODBC Driver for SQLite to access database files, execute queries, and retrieve data and metadata. The server then delivers structured results to the AI client, providing a consistent interface for working with SQLite from MCP-compatible tools.
Connecting AI to SQLite through MCP turns a conventional AI chat into a practical way of working with live data. It is much faster than manual data export or SQL querying.
Retrieve data, inspect schemas, and investigate issues in the most natural and convenient way.
MCP Server for SQLite gives teams a natural-language interface to SQLite data for analysis, development, troubleshooting, validation, and controlled AI access.
How MCP Server for SQLite helps
Devart MCP Server for SQLite gives teams a more practical way to bring AI into data workflows — with secure deployment, easier setup, and less custom integration work.
Keep AI-to-data access inside your environment with a secure, controlled SQLite MCP layer.
Start faster with a ready MCP Server instead of building and maintaining a custom integration from scratch.
Connect Claude, VS Code, Cursor, Codex, and other MCP-compatible tools to SQLite with less friction.
The MCP Server is free — no license key, no activation, no expiry. It connects through Devart ODBC Driver for SQLite, which is licensed separately.
Support analysis, troubleshooting, investigation, and plain-language access across everyday data work.
Adopt SQLite AI workflows with expert product guidance and dedicated support throughout setup and rollout.
Use an existing DSN or create a custom SQLite connection.
Integrate Claude, VS Code, Cursor, Codex, or another compatible MCP tool.
Begin querying your SQLite data in natural language through the MCP layer.
Download and set up the free, self-hosted MCP Server to securely connect your AI tools to SQLite and start asking questions in plain language.
App developers, data engineers, analysts, and architects who work with SQLite databases in applications, prototypes, and data pipelines and need a quicker way to understand their structure and contents. They can use natural-language queries to explore tables, views, indexes, and relationships, inspect application data, retrieve related records, investigate query behavior, and troubleshoot data issues directly from their AI tools.
Operations, product, and analytics teams that need answers from data stored in SQLite in plain language, without writing SQL or setting up a separate tool.
Teams adding AI capabilities to applications, developer tools, or local workflows that use SQLite databases. MCP lets their AI tools work with database content and structure through a common interface.
MCP Server for SQLite is a self-hosted solution that lets AI assistants and agents work with SQLite databases through the Model Context Protocol (MCP). It provides a standard interface for querying data, examining database structures, and working with SQLite files through natural-language requests.
The AI client sends MCP tool calls to the server, which accesses the SQLite database through Devart ODBC Driver for SQLite. The server performs the requested database operations and returns structured results, without requiring the AI client to open the database file itself.
Yes. AI assistants can retrieve current data from the connected SQLite file and inspect its schema, views, indexes, triggers, and other available metadata. Queries work against the database itself rather than an exported copy.
MCP Server runs in your environment, giving you control over which SQLite files and connections are available to AI tools. Database access is handled through the server instead of giving AI clients direct access to the files.
Yes. MCP Server for SQLite is free to download and use, with no license key, activation, or expiration. SQLite connectivity is provided through Devart ODBC Driver for SQLite, which is licensed separately and includes a 30-day trial.
AI assistants can explore schemas, query tables and views, inspect indexes and triggers, retrieve records, analyze query plans, and perform ad-hoc analysis directly against SQLite databases.
Yes. AI can examine available schema metadata to identify tables, columns, views, indexes, and triggers. It can then explain how the objects in a single-file SQLite database are organized and related.
Yes. AI can examine the query and its available query plan to identify scans, index usage, joins, and other details that may affect performance. Based on that information, it can help investigate possible indexing or query changes.
No. Configure the SQLite connection in MCP Server and register the server with your MCP-compatible AI client. You can then work with the database through MCP without developing a separate API layer.
You can connect MCP Server for SQLite to Claude, Visual Studio Code, Cursor, Codex, Windsurf, Cline, Zed, and other tools with MCP support. The same SQLite setup can therefore be used with different compatible AI clients.
AlloyDB
Clipper
dBase
Dynamics 365
Dynamics 365 Business Central
Firebird
FoxPro
Heroku Postgres
HubSpot
MariaDB
Microsoft Access
MySQL
NetSuite
Oracle
PostgreSQL
QuickBooks Online
Salesforce
Salesforce Marketing Cloud
SAP Sybase ASE
Snowflake
SQL Server
xBase
Zoho CRM
Zoho Desk