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SQLite Explorer MCP Server

MCP Server

Safe, read‑only SQLite access for LLMs via MCP

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Updated 14 days ago

About

A FastMCP server that lets language models query SQLite databases safely. It provides read‑only SELECT access with validation, parameter binding, and schema exploration tools.

Capabilities

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

MseeP.ai Security Assessment Badge

The SQLite Explorer MCP Server is a lightweight, read‑only gateway that lets AI assistants query local SQLite databases safely. By exposing a minimal set of tools—, , and —the server enables developers to integrate database exploration into conversational workflows without exposing the underlying file system or risking data corruption. The server’s core value lies in its built‑in safety layer: every SELECT statement is parsed, validated, and sanitized before execution, and a configurable row limit protects against accidental data dumps.

For developers building AI‑powered applications, this MCP server removes the friction of writing custom database connectors. Instead of manually crafting SQL adapters or handling authentication, an LLM can simply invoke the exposed tools and receive JSON‑encoded results. This is particularly useful in contexts where an assistant must answer questions about a product catalog, financial records, or any other domain stored in SQLite. Because the server runs locally and enforces read‑only access, it also satisfies strict compliance requirements for sensitive data environments.

Key capabilities include:

  • Query validation and sanitization that rejects non‑SELECT statements or potentially destructive commands.
  • Parameter binding support, allowing the assistant to safely supply user input without risking injection attacks.
  • Row limit enforcement that caps result sets, ensuring predictable response sizes and protecting against accidental over‑exposure.
  • Schema introspection tools ( and ) that give the assistant contextual knowledge of table structures, enabling more precise queries.

Typical use cases span from developer tooling—where a code‑review assistant can inspect database schemas—to customer support bots that fetch order histories or product details on demand. In a CI/CD pipeline, the server can be spun up as part of automated tests to validate SQL queries generated by LLMs before they hit production. Its integration with the FastMCP framework means it can be deployed directly within popular AI interfaces such as Claude Desktop or the Cline VSCode plugin, requiring only a single environment variable () to point at the target database.

The standout advantage of this MCP server is its combination of simplicity, safety, and tight integration. By abstracting away the intricacies of SQLite while providing robust safeguards, it empowers developers to harness AI assistants for data exploration without compromising security or reliability.