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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.
Configuration
View docs{
"mcpServers": {
"hannesrudolph-sqlite-explorer-fastmcp-mcp-server": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"uvicorn",
"fastmcp",
"run",
"/path/to/repo/sqlite_explorer.py"
],
"env": {
"SQLITE_DB_PATH": "YOUR_DATABASE_PATH"
}
}
}
}You can safely explore and query SQLite databases using the SQLite Explorer MCP Server. It exposes a read-only MCP interface that validates queries, binds parameters, and enforces row limits, enabling large language models to inspect database schemas and data without risking unintended writes.
You interact with the server through an MCP client. The server provides three core tools you can call to inspect and query your SQLite database: read_query to run safe SELECT statements with parameter binding and size limits, list_tables to enumerate available tables, and describe_table to fetch detailed column and constraint information for a table. Use these tools to explore the database structure, sample data, and column metadata without modifying any data.
When you issue a read_query, the server applies safety checks and binds parameters to prevent injection risks. You can request a small subset of rows to keep responses fast and readable. Use list_tables to quickly see what tables exist, and describe_table to understand each table’s schema, including column names, types, NULL constraints, default values, and primary keys.
Prerequisites you need before starting: Python 3.6 or newer and an accessible SQLite database file. You will run a local MCP server that interfaces with your database file via an environment variable.
Option 1: Install for Claude Desktop Run the following to install and register the MCP server via FastMCP, pointing to your database path. After installation, you will reference the provided MCP endpoint in your Claude environment.
fastmcp install sqlite_explorer.py --name "SQLite Explorer" -e SQLITE_DB_PATH=/path/to/dbOption 2: Install for the Cline VSCode Plugin Configure the plugin to launch the MCP server using UVicorn with FastMCP. This example shows how to wire the command and environment variable.
{
"sqlite-explorer": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"uvicorn",
"fastmcp",
"run",
"/path/to/repo/sqlite_explorer.py"
],
"env": {
"SQLITE_DB_PATH": "/path/to/your/database.db"
}
}
}Key configuration includes setting the environment variable that points to your SQLite database file. The server is designed for safe read-only access and enforces query validation, parameter binding, and row limits to prevent excessive or unsafe queries.
Environment variable to set when starting the server: SQLITE_DB_PATH — full path to your SQLite database file. This variable is used by all MCP interactions to locate the database.
Safety features include read-only access, validated queries, parameter binding, and automatic suppression of progress output to ensure clean JSON responses.
Language and tooling used in this server are Python-based. The MCP client can connect via HTTP or via the local stdio interface depending on how you run the server.
If you are using the VSCode plugin approach, ensure the path in the configuration points to where you have cloned or placed the server script and that the environment variable is set to your database path.
Execute a SELECT query with built-in safety validations, parameter binding, row limit enforcement, and results returned as dictionaries.
List all available tables in the database with their names.
Provide detailed schema information for a specific table, including column names, types, NULL constraints, default values, and primary key information.