Skip to main content
Glama
bretoreta

MariaDB MCP Server

by bretoreta

list_tables

Retrieve all table names from a MariaDB database to explore its structure and contents. Specify a database name or use the default to view available tables.

Instructions

List all tables in a specified database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNoDatabase name (optional, uses default if not specified)

Implementation Reference

  • Handler for the list_tables tool: extracts database from args, runs SHOW FULL TABLES query via executeQuery helper, returns JSON stringified rows.
    case "list_tables": { const db = args.database as string | undefined; const { rows } = await executeQuery("SHOW FULL TABLES", [], db); return { content: [{ type: "text", text: JSON.stringify(rows, null, 2) }], }; }
  • Input schema for list_tables tool: object with optional 'database' string property.
    inputSchema: { type: "object", properties: { database: { type: "string" } }, },
  • src/index.ts:80-114 (registration)
    Registration of list_tables tool in the ListToolsRequestSchema handler, defining name, description, and schema.
    mcpServer.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: [ { name: "list_databases", description: "List all databases", inputSchema: { type: "object" }, }, { name: "list_tables", description: "List tables in a database", inputSchema: { type: "object", properties: { database: { type: "string" } }, }, }, { name: "describe_table", description: "Show schema of a table", inputSchema: { type: "object", properties: { database: { type: "string" }, table: { type: "string" } }, required: ["table"], }, }, { name: "execute_query", description: "Run an arbitrary SQL query", inputSchema: { type: "object", properties: { query: { type: "string" }, database: { type: "string" } }, required: ["query"], }, }, ], }));
  • Supporting executeQuery function called by list_tables handler to perform the SQL query on the database.
    export async function executeQuery( sql: string, params: any[] = [], database?: string ): Promise<{ rows: any; fields: mariadb.FieldInfo[] }> { console.error(`[Query] Executing: ${sql}`); // Create connection pool if not already created if (!pool) { console.error("[Setup] Connection pool not found, creating a new one"); pool = createConnectionPool(); } try { // Get connection from pool if (connection) { console.error("[Query] Reusing existing connection"); } else { console.error("[Query] Creating new connection"); connection = await pool.getConnection(); } // Use specific database if provided if (database) { console.error(`[Query] Using database: ${database}`); await connection.query(`USE \`${database}\``); } if (!isAlloowedQuery(sql)) { throw new Error("Query not allowed"); } // Execute query with timeout const [rows, fields] = await connection.query({ metaAsArray: true, namedPlaceholders: true, sql, ...params, timeout: DEFAULT_TIMEOUT, }); // Apply row limit if result is an array const limitedRows = Array.isArray(rows) && rows.length > DEFAULT_ROW_LIMIT ? rows.slice(0, DEFAULT_ROW_LIMIT) : rows; // Log result summary console.error( `[Query] Success: ${ Array.isArray(rows) ? rows.length : 1 } rows returned with ${JSON.stringify(params)}` ); return { rows: limitedRows, fields }; } catch (error) { if (connection) { connection.release(); console.error("[Query] Connection released with error"); } console.error("[Error] Query execution failed:", error); throw error; } finally { // Release connection back to pool if (connection) { connection.release(); console.error("[Query] Connection released"); } } }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bretoreta/mariadb-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server