"sql server" matching MCP servers:

Enables natural-language querying and analysis of an e-commerce SQLite database via MCP, with read-only SQL execution, table inspection, and AI-generated answers.

Enables AI agents to safely interact with a SQLite shop database through schema discovery, read-only SQL queries, and pre-built analytics reports like top customers, top products, and revenue summaries.

Enables read-only interaction with an online store's SQLite database over MCP stdio, including table listing, schema inspection, safe read-only SQL execution, and sales analytics. It rejects mutating SQL operations to keep data intact.

Enables AI agents to safely inspect and query an SQLite e-commerce database with tools for listing tables, describing schemas, and running read-only SQL queries while blocking destructive operations.

A read-only MCP server that lets AI agents run safe, specialized analytics over an internet shop's SQLite database, covering customers, products, orders, and revenue. It exposes no generic SQL or write tools, so agents can answer questions without modifying data.

Gives AI agents read-only analytical access to an e-commerce SQLite database (customers, orders, order_items, products) via SQL queries, table listing, and schema inspection.

Enables AI assistants to interact with a Magento 2 or Adobe Commerce MySQL database through 50+ read-only tools for orders, catalog, customers, CMS, configuration, indexers, and diagnostics, with support for local DDEV, Commerce Cloud, and remote/SSH connections.

Enables read-only access to a SQLite shop database through domain entity tools and pre-built analytic answers, without exposing raw SQL.

Enables natural language querying of Amazon Advertising data including Sponsored Products, Brands, Display, DSP reports, and AMC SQL workflows, with live data from the Amazon Ads API.

Enables AI agents to analyze an SQLite e-commerce database via secure read-only SQL queries, providing tools for table inspection and analytical requests.

Provides access to bakery POS transaction data, product catalogs, and sales analytics from SQLite database through natural language queries and custom SQL execution.

Enables AI agents to query BigQuery ecommerce datasets like TheLook via guarded, read-only SQL tools (dry_run_sql and execute_sql), with benchmarked performance over wiki-style documentation lookup.

Enables Claude to answer business questions against a company's retail database — sales summaries, top customers, inventory alerts, customer profiles, and plain-English queries — through read-only SQL tools plus a schema resource and reporting prompt. Access is governed by OAuth 2.1 roles and scopes, column-level PII masking, a SQL guard, rate limits, and audit logging.

Enables AI assistants to query unified commerce data from Amazon, Google Ads, GA4, and other selling systems using read-only SQL tools, with managed sync, freshness, and schema discovery.

MCP server for Magento 2, exposing store data and operations via REST Admin API, GraphQL, and read-only SQL, with safety confirmations for destructive actions.

MCP server for commerce-operations self-service. Lets an AI agent look up order details and search orders without needing developer or SQL access.

Enables a shared store inventory platform where owners and customers query and manage products, check stock, run POS checkout, and approve simulated restocks through authenticated MCP tools backed by a shared SQLite database. Tool calls are persisted with request IDs and executed SQL so every operation can be audited and verified.

This MCP server lets an AI agent securely connect to a read-only SQLite store database, inspect its tables and schema, and run analytical SQL queries without modifying any data.

Enables natural-language querying of an e-commerce dataset by providing a LangChain agent that uses tools to execute parameterized SQL queries on a SQLite database, with short-term memory and Streamlit or Claude Desktop interfaces.

An MCP server that combines SQL and RAG tools into a reasoning agent for answering retail analytics questions using natural language.