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Mcp Turso

MCP Server

Access Turso-hosted LibSQL databases via MCP

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Updated Sep 12, 2025

About

Mcp Turso is an MCP server that enables retrieval of table lists, database schemas, individual table schemas, and execution of SELECT queries on Turso-hosted LibSQL databases.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

Mcp Turso is a lightweight Model Context Protocol (MCP) server that gives AI assistants direct, secure access to databases hosted on Turso’s LibSQL platform. By exposing a small set of high‑level tools—listing tables, retrieving schemas, describing individual tables, and executing SELECT queries—the server lets developers turn any Turso database into a first‑class data source for conversational AI workflows. This eliminates the need to build custom connectors or manage authentication flows manually, enabling assistants like Claude to answer questions about database structure and content with minimal latency.

The server’s value lies in its seamless integration with existing MCP‑enabled tools such as Claude Desktop and Cursor. Configuration is straightforward: users supply the database URL and an authentication token via environment variables, and the MCP client automatically discovers the four core tools. Once connected, an assistant can ask “What tables are in this database?” or “Show me the schema for ” and receive instant, typed responses that can be rendered in chat or passed to downstream logic. Because the tools return structured JSON (arrays of table names, SQL create statements, column definitions, and query result objects), developers can programmatically consume the data or embed it in custom UI components.

Key capabilities include:

  • Table discovery: enumerates all tables, useful for dynamic schema exploration.
  • Schema introspection: provides full SQL creation scripts, enabling assistants to explain data models or generate documentation.
  • Targeted description: returns column names and types, facilitating context‑aware query construction.
  • Data retrieval: executes arbitrary SELECT statements, returning rows with column metadata and a row count for downstream processing.

Real‑world use cases span data‑driven applications, analytics dashboards, and automated reporting. For example, a business intelligence assistant can prompt the user for insights (“Show me sales by region”) and translate that into a SELECT query, fetch results via , and present them in natural language. In developer tooling, the schema tools can power code generators or schema validation helpers that react to changes in the database.

Mcp Turso distinguishes itself by coupling a minimal, well‑defined API with robust logging and cross‑platform configuration. Its custom logger writes to a predictable location, simplifying debugging for developers who need visibility into query execution or authentication issues. While the current feature set focuses on read‑only operations, the architecture is designed for extension—future releases may add write tools or more sophisticated query builders. For developers already using MCP, Turso’s server provides an immediate bridge to a modern, serverless SQL backend without the overhead of traditional database drivers.