MCP libSQL

The MCP libSQL server bridges the gap between AI assistants and relational data by exposing a full suite of database operations over the Model Context Protocol. It allows Claude Desktop, Claude Code, Cursor, and any MCP‑compatible client to interact with a libSQL database—whether local, file‑based, or hosted on Turso—using simple, declarative tools. This removes the need for custom connectors or manual API wrappers, enabling developers to focus on building AI experiences rather than plumbing.

At its core, the server implements six primary tools that mirror standard SQL CRUD functionality. The read-query tool safely executes SELECT statements with exhaustive injection checks, returning results in a neatly formatted table that preserves alignment and NULL handling. write-query covers INSERT, UPDATE, and DELETE operations, automatically wrapping them in transactions to ensure atomicity and providing rollback on error. DDL is supported through create-table and alter-table, allowing schema evolution directly from the assistant. Metadata browsing is facilitated by list-tables and describe-table, which expose schema information in multiple output formats for easy consumption.

Security is a first‑class concern. The server employs multi‑layer SQL injection prevention, comprehensive parameterized query support, and audit logging that records every operation for compliance. Connection pooling with health monitoring and automatic retries guarantees reliability even in unstable network conditions, while the built‑in transaction support protects data integrity during complex sequences of writes. These safeguards make it safe to expose the database directly to an AI agent without compromising application security.

Developers benefit from a polished developer experience: clear error messages with actionable context, real‑time performance metrics for each operation, and a development mode that offers hot reload and enhanced logging. The server’s CLI supports various logging modes, making debugging straightforward whether you’re running locally or deploying to production. Because it is written in TypeScript and runs on Node.js, integration into existing JavaScript/TypeScript workflows is seamless.

In practice, MCP libSQL shines in scenarios where an AI assistant needs to query or modify data on demand—such as generating dynamic reports, updating inventory records from conversational prompts, or guiding users through database migrations. By exposing a consistent set of tools over MCP, it eliminates the friction of building custom connectors and allows teams to iterate quickly on AI‑powered data workflows.