"An e-commerce platform for online stores and retail point-of-sale systems" matching MCP servers:

Enables users to query an e-commerce MySQL database in plain English, using AI to generate and execute read-only SQL queries securely through MCP.

Enables searching and scraping of product listings from major Pakistani e-commerce platforms including Daraz, Telemart, and iShopping. It provides tools to find the lowest-priced items with ratings of four stars or higher through automated web scraping.

Provides STORES API documentation to AI clients, enabling natural language queries about endpoints, authentication, and more.

An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.

Provides systems thinking models as composable analysis lenses for architecture, infrastructure, DevOps, incident analysis, and technical decision-making.

Enables Claude to read, create, and edit a single pre-bound PowerPoint file via MCP tools, with security bound to one specific .pptx file.

Provides an online MCP overlay for Weavatrix Cloud and Enterprise, enabling sync, advisory refresh, and architecture contract pull with explicit confirmation.

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

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

MCP server that provides predictive inventory analysis tools to AI agents, including current stock, sales velocity, and replenishment alerts.

A suite of MCP servers that give AI agents read-only access to Chinese e-commerce platform business data, including advertising, orders, products, and more from platforms like Douyin, JD.com, Taobao, etc.

Enables tracking retail product prices, checking price history, and managing tracked products via MCP tools, with a focus on UNIQLO Taiwan.

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

Enables e-commerce customer service agents to retrieve product catalog and return/delivery policy documents through multi-source RAG with RRF fusion, exposing product_search and policy_qa tools for grounded, cited responses.

Enables searching and comparing product prices across major Indian quick-commerce and e-commerce platforms, ranking results by landed price, returning product links, storing price history, and providing 15–30 day price direction forecasts with best-buy recommendations.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.