"Qubes OS" matching MCP servers:

Enables AI agents to shop and query Magento/Mage-OS stores via the storefront GraphQL API, including product search, stock checks, category browsing, cart management, and customer order status.

Enables investigating delayed e-commerce orders by searching orders, retrieving order context, diagnosing delay causes, and recommending resolutions through natural language.

Enables any MCP client to run natural-language queries and actions against CRM and ticket systems, with schema-validated tools, audit logging, and server-side write gating.

Enables external assistants to manage merchant customer-support inbox workflows—listing and searching conversations, reading order context, saving drafts, and, after host approval, sending replies or updating conversation assignments and status via the Synerixis API.

Enables local, deterministic management and search of point-of-sale support data—branches, terminals, incidents, and incident history—with read-only queries and mutating tools over stdio using simulated SQLite data.

Enables MCP clients to search and manage customer support tickets, customer records, and knowledge base articles, with read-only and human-approved write workflows.

An MCP server that provides operational tooling over the Zendesk Support API — ticket triage, SLA monitoring, agent workload analysis, and system health audits.

Connects your LCApps CRM with AI assistants like Claude, enabling querying and creation of CRM data such as clients, invoices, and expenses. Optionally allows saving PDF documents locally when used as a package.

Enables AI agents to investigate and resolve operational exceptions across orders, payments, inventory, and fulfillment through a multi-system truth and guarded actions.

Enables a single professional Instagram account to be managed through Claude, including reading and replying to comments and direct messages, and viewing account and media statistics. It runs as a remote streamable HTTP server with OAuth-protected access and automatic renewal of the Instagram token.

Enables agents to navigate users through pre-defined decision trees by submitting answer labels, returning deterministic next instructions without extra LLM calls. Supports domain-independent procedural workflows with state tracking, handling of unknown responses, and a read-only Web UI.

Enables operations teams to diagnose and resolve stuck orders via natural-language queries. It provides evidence-based resolution proposals, but any state-changing action requires explicit human confirmation.

Enables EV two-wheeler OEMs and dealerships to handle sales, service, and leadership-reporting conversations through a voice/chat agent with 22 tools for lead capture, test-ride booking, service requests, warranty checks, roadside assistance, and daily briefings. It runs over a seeded SQLite dataset and replaces hold-music phone workflows with one agentic surface.

Enables travellers whose flights are cancelled, delayed, overbooked or missed-connection to check their EU261/UK261/US DOT rights, get airline desk scripts, find airport and nearby-airport alternatives with live one-way flights, and open or track a case with a human expert team.

Enables AI agents to investigate and resolve e-commerce order exceptions like damages, lost shipments, refunds, and replacements through a unified interface with built-in guardrails.

MCP server exposing WhatsApp Cloud API operations as tools for AI agents like Claude Code, Cursor, and Codex.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

This is a deployable remote MCP server that lets OpenAI Agent Builder connect directly to Etsy using Etsy OAuth 2.0 with PKCE.

An MCP server that exposes RAG search, ServiceNow, and observability tools to MCP clients, and proxies curated calls to remote ServiceNow and observability MCP servers.

Enables agents and MCP clients to look up shipment tracking status, SAP order sync errors, ServiceNow incident tickets, and internal SOP runbooks through natural-language tool calls, with every execution written to a SQLite audit trail.

Enables SaaS support desk operations with sixteen tools for customer lookup, invoice and ticket access, refunds, and admin actions, organized into four risk tiers.

Enables AI assistants to handle payment support tasks by orchestrating between Stripe and an internal orders database, with human approval required for refunds.

Enables AI assistants to detect and investigate e-commerce payment-fulfillment discrepancies, create durable escalation tickets, and track resolution status.

An MCP server that enables non-technical operations users to resolve common commerce-ops tickets, such as orders charged but failed, through an investigate, recommend, approve, and execute workflow with read-only and write tools.

MCP server for Nimbus Operations Copilot that enables AI agents to search help docs, customer data, invoices, and tickets, and propose refunds/tickets with human approval for writes.

Enables AI agents to investigate why paid orders have not reached shipment creation and create persistent human-review escalations.

Enables commerce operations specialists to investigate and resolve stuck orders by diagnosing issues and performing safe, bounded remediations through AI-driven tools.

Enables commerce operations teams to investigate missing-delivery complaints and resolve them through natural language, with policy-enforced refunds and escalations.

Enables AI assistants to investigate and safely resolve commerce order exceptions, such as expired inventory reservations, by providing a workflow across synthetic order, payment, inventory, and fulfillment systems.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.