SQLite Explorer MCP Server

Created at 2 months ago

by hannesrudolph

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An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

Categories

research-and-data

Tags

python

sqlite

mcp

database-tools

llm-tools

llm-integration

SQLite Explorer MCP Server

What is SQLite Explorer MCP Server?

SQLite Explorer MCP Server is a server application that provides safe, read-only access to SQLite databases via the Model Context Protocol (MCP). It is built using the FastMCP framework and allows large language models (LLMs) to explore and query SQLite databases with safety features and query validation.

How to use SQLite Explorer MCP Server?

To use the SQLite Explorer MCP Server, clone the repository from GitHub, install it based on your application (Claude Desktop or Cline VSCode Plugin), and configure the necessary environment variables for your SQLite database.

Key features of SQLite Explorer MCP Server?

  • Provides read-only access to SQLite databases.
  • Built-in safety validations for executing queries.
  • Supports essential database commands such as executing SELECT queries, listing tables, and describing table schemas.

Use cases of SQLite Explorer MCP Server?

  1. Enabling LLMs to safely explore SQLite databases for insights.
  2. Integrating with development environments to facilitate database interactions without compromising data integrity.
  3. Providing a clean and restricted interface for database queries in applications.

FAQ from SQLite Explorer MCP Server?

  • Can I modify the database through this server?

No, the server provides read-only access to ensure data integrity.

  • How does the safety feature work?

The server restricts the executed queries to SELECT statements only and uses parameterized queries to prevent SQL injection.

  • What are the requirements for running the server?

You need Python 3.6 or higher and a valid SQLite3 database file.

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