MCP SQLite Server

MCP SQLite Server

The MCP SQLite Server bridges the gap between AI assistants and relational data by exposing an SQLite database through the Model Context Protocol. This lightweight Go implementation transforms ordinary SQL operations into JSON‑RPC calls, enabling tools such as Claude Desktop to query and manipulate data without writing custom drivers or adapters. By wrapping SQLite in a standardized MCP interface, developers can treat the database as just another tool or prompt source, allowing AI workflows to evolve organically.

The server implements a full set of core database operations. With tools like create_table, describe_table, and list_tables it provides schema management capabilities, while read_query and write_query let the assistant execute arbitrary SELECT, INSERT, UPDATE, or DELETE statements. All results are returned in JSON format, making them immediately consumable by downstream AI models or other services. The simplicity of these tools means that a single MCP client can perform complex data manipulations—such as generating analytics reports, populating test datasets, or synchronizing state—with minimal overhead.

Key features include:

• MCP‑compliant JSON‑RPC: A clean, language‑agnostic interface that fits seamlessly into existing MCP toolchains.
• Zero‑configuration persistence: The database file is created automatically if it does not exist, and can be mounted into Docker containers for durable storage.
• Environment‑driven configuration: Logging, debug mode, and database path can be overridden via environment variables, simplifying deployment in CI/CD pipelines or containerized environments.
• Lightweight Go binary: No external dependencies beyond SQLite, making the server fast to build and easy to ship.

Typical use cases span data‑driven AI assistants, automated report generation, and rapid prototyping. For instance, a Claude user could ask the assistant to “create a table of customer orders” and then immediately query recent sales, all within a single conversational session. In development environments, the server can serve as a mock database for testing AI‑generated SQL or for teaching students how to interact with databases through natural language.

Integration is straightforward: add a server entry to the file, and the assistant will automatically discover the SQLite tools. Whether run via Docker for isolation or directly as a Go binary for local debugging, the MCP SQLite Server provides developers with a reliable, protocol‑compliant gateway to relational data—an essential component for building intelligent, context-aware applications.