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Summary
JTL-Wawi — the e-commerce ERP behind a large share of German online retail. Read customers, items, stock, sales orders and shipments from your on-premises JTL-Wawi via the JTL API Server. REST v1, bearer token.
Try asking
Example prompts for JTL-Wawi
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → JTL-Wawi, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
JTL-Wawi + Microsoft Copilot
JTL-Wawi — the e-commerce ERP behind a large share of German online retail. Read customers, items, stock, sales orders and shipments from your on-premises JTL-Wawi via the JTL API Server. REST v1, bearer token.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
JTL_WAWI_URL, JTL_WAWI_API_KEY, JTL_WAWI_APP_ID, JTL_WAWI_APP_VERSION
Step 1 — Get credentials
JTL-Wawi is on-premises Windows software and does not speak HTTP on its own. The REST API is served by the separate JTL API Server (sometimes called the Wawi API / JTL-Wawi API), which you install alongside the Wawi database.
- Install the JTL API Server on the machine that reaches your JTL-Wawi MSSQL database, and start its service.
- Register an app: in JTL-Wawi open Admin → App registration and start the registration, then send
POST /api/eazybusiness/authenticationwith the app's details (AppId,DisplayName,Description,Version,ProviderName,ProviderWebsite,MandatoryApiScopes) and anx-challengecodeheader. …
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Microsoft Copilot
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Microsoft Copilot uses MCP servers through agents built in Copilot Studio: you add AnythingMCP to an agent as a tool, then publish the agent to Microsoft 365 Copilot and Teams. Copilot Studio connects from Microsoft's cloud over Streamable HTTP, which AnythingMCP supports.
- In Copilot Studio, open your agent (or create one), go to Tools and choose Add a tool → New tool → Model Context Protocol.
- Enter a Server name (for example
AnythingMCP), a Server description that says what the connector does, and the Server URLhttps://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. Copilot Studio uses the description to decide when to call the server. - Under authentication, choose API key, set Type to Header and the header name to
X-API-Key, then select Create. - In Add tool, choose Create a new connection, paste an MCP API key from AnythingMCP (MCP Servers → your server → API keys) and select Add to agent.
- Try it in the agent's Test pane: ask for something that needs the
JTL-Wawitools. - Select Publish, then Channels → Microsoft 365 and Microsoft Teams, keep Make agent available in Microsoft Copilot selected and choose Add channel. See agent in Teams installs it for you; in Microsoft 365 Copilot, type @ and pick the agent.
Prefer per-user sign-in? Choose OAuth 2.0 → Dynamic discovery instead of an API key: each user then signs in to AnythingMCP the first time the agent calls it.
Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Copilot Studio connects from Microsoft's cloud, so localhost does not work.
Available tools
| Tool | What it does |
|---|---|
jtl_wawi_list_warehouses | List the warehouses (Lager) configured in JTL-Wawi with their id, name and type |
jtl_wawi_list_items | List articles from the item master with their SKU, name, prices, EAN and manufacturer |
jtl_wawi_get_item | Read one article in full: its SKU, descriptions, dimensions, prices, categories and supplier links |
jtl_wawi_get_item_stock | Read the per-warehouse stock of one article: quantity on hand, reserved, and available |
jtl_wawi_list_customers | List customers with their customer number, company, contact name, address and customer group |
jtl_wawi_get_customer | Read one customer in full: billing and delivery addresses, payment and shipping defaults, and the customer group they belong to |
jtl_wawi_list_sales_orders | List sales orders with their order number, customer, date, payment and shipping status and total |
jtl_wawi_get_sales_order | Read one sales order in full: its line items with SKU, quantity and price, the addresses, and the payment and shipping state |
jtl_wawi_list_shipments | List shipments with their tracking number, carrier, date and the sales order they belong to — the answer to 'has it gone out yet' |
jtl_wawi_list_sales_order_line_items | Read the line items of one sales order: SKU, name, quantity ordered, delivered and returned, net and gross price, discount and tax rate |
FAQ
Which Copilot is this for? Microsoft 365 Copilot at work, through agents built in Copilot Studio. The Microsoft Copilot app for personal accounts has no option to add your own MCP server.
What do I need? A work account with access to Copilot Studio (a license or a trial) to build the agent. People who use it in Microsoft 365 Copilot or Teams need access to the agent: share it with them, or ask an admin to publish it to the organization. If your organization applies data policies to Power Platform connectors, they cover MCP servers too.
The agent doesn't call the tools. Check that the header name is exactly X-API-Key and that the key belongs to the same MCP server as the URL, and make the server description specific: Copilot Studio uses it to decide when to call the server. Publish the agent again after each change; in an open chat, type "start over" to get the new version.
Next steps
- Connector landing page
- Connect to Claude
- Connect to ChatGPT
- Connect to Cursor
- Connect to Gemini
- Connect to Meta Muse
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