Ask questions without digging through dashboards
Use your preferred AI assistant to ask about orders, stock, campaigns, margins, product content and channel performance.
FiveX MCP
FiveX MCP lets AI clients work with the marketplace context your team already connects in FiveX: orders, inventory, advertising, product content, profitability and channel performance.
FiveX handles authentication, channel access and connector complexity so AI assistants can discover what they are allowed to read, answer operational questions and prepare approved actions across connected ecommerce channels.
Übersicht
FiveX MCP is the Model Context Protocol interface to FiveX. It gives compatible AI clients a controlled way to work with your connected marketplace operation.
MCP is the open standard for connecting AI applications to external systems, tools and data sources.
Read the official MCP introUse your preferred AI assistant to ask about orders, stock, campaigns, margins, product content and channel performance.
Connect agents, internal tools and workflows to FiveX context without rebuilding OAuth flows, channel connectors or permission boundaries.
Funktionen
FiveX MCP is designed for commercial workflows where AI needs useful context, but access still has to stay controlled.
Connected channels stay disabled until your team enables them for AI access.
Expose Amazon, bol, Kaufland, Otto, Shopify, Meta Ads, Google Ads and other connected data through one MCP endpoint.
Use clients such as Claude, Claude Code, Cursor, ChatGPT-style agents and other MCP-capable tools.
Start with analysis, reporting and tool discovery before allowing operational write actions.
Jetzt starten
Create or open your FiveX MCP account, copy your keys, connect your AI client and verify the available tools.
Kanäle
FiveX MCP is strongest when it can combine commercial context across the channels your team already operates.
Ask about orders, products, channel performance, inventory and marketplace operations.
Review campaign performance and connect spend to revenue, margin and stock context.
Bring storefront data into the same AI workflow as marketplaces and ads.
Work with SKU economics, margins, P&L signals and channel-level reporting.
Anwendungsfälle
Use MCP to turn marketplace questions into fast, context-aware AI workflows.
Ask which products are losing margin after ad spend and stock are taken into account.
Ask which fast-moving SKUs may run out before replenishment arrives.
Ask which campaigns deserve budget, pausing or investigation based on profit context.
Ask which listings need product content updates across connected channels.
Start with the quickstart, then expand channel access as your team becomes comfortable with the available tools.