"A platform for e-commerce solutions" matching MCP servers:

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Enables comprehensive product management for e-commerce with CRUD operations, AI-powered product description generation, inventory tracking, and MySQL database integration.

Enables management of retail e-commerce products with CRUD operations, AI-powered product description generation, and inventory tracking through SQLite database integration.

An MCP control plane for SAP Commerce Cloud that exposes safe, read-only tools to LLM agents for inspecting types, running FlexibleSearch, and validating ImpEx.

A Model Context Protocol server that enables full CRUD operations for e-commerce product management, featuring MySQL integration and AI-powered product description generation. It provides tools for inventory monitoring and supports both stdio and HTTP/SSE transports.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Provides an in-memory mock commerce backend for shopping agents, enabling product search, order creation, simulated payment, automatic shipping/delivery progression, and refund workflows. It lets developers test full shopping-agent lifecycles deterministically without real products, credentials, or funds.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.

Enables AI to read, reliably edit, compile, and observe a local E5.95 EasyLanguage IDE over MCP, including project snapshots, declarations, native listview preparation, support-library metadata, and fault/variable capture. It works without simulating keyboard or mouse input and without depending on AutoLinker.

Enables AI assistants to interact with Dynamics 365 Commerce systems through 125+ tools covering customer management, sales orders, cart operations, product searches, inventory tracking, and store operations. Provides comprehensive mock data for development and testing purposes.

Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.

Enables AI assistants to directly control, automate, orchestrate, and self-heal Hybris/CCv2 environments and headless Spartacus storefronts through 27 JSON-RPC tools. Covers greenfield site provisioning, CMS scaffolding, B2B organization governance, Drools promotion rules, Solr reindexing, catalog sync, FlexibleSearch/ImpEx/Groovy execution, Spartacus diagnostics with auto-fix, and a self-evolving script and knowledge library.

Enables interaction with Mia-Platform Console through the Model Context Protocol, supporting machine-to-machine authentication and personal credentials for managing resources.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.