4,500+ servers built on MCP Fusion
Vinkius
Wherefour logo
Vinkius
Claude Code logo

How to Use the Wherefour MCP in Claude Code

Run Wherefour ERP tasks headless for Claude Code. Perfect for CI/CD pipelines and shell scripting.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Wherefour MCP on Cursor AI Code Editor MCP Client Wherefour MCP on Claude Desktop App MCP Integration Wherefour MCP on OpenAI Agents SDK MCP Compatible Wherefour MCP on Visual Studio Code MCP Extension Client Wherefour MCP on GitHub Copilot AI Agent MCP Integration Wherefour MCP on Google Gemini AI MCP Integration Wherefour MCP on Lovable AI Development MCP Client Wherefour MCP on Mistral AI Agents MCP Compatible Wherefour MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Code

Connect Wherefour MCP to Claude Code

Create your Vinkius account to connect Wherefour to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Automate Inventory Checks with the MCP Server

You can write a simple script that checks inventory levels across multiple sites. The agent runs `list_inventory_items` to get all products, then uses `search_inventory` to filter them by location code. This works great in a GitHub Action. Your pipeline executes the tool call, pipes the resulting JSON data into a shell variable, and continues with subsequent steps.

Process Order Data using Wherefour's MCP Server

Need to validate order status for nightly runs? The script calls `list_orders` first. Then, it can loop through the results, calling `get_order` on each ID to pull full details needed for compliance checks. Since this is headless, the output is clean JSON piped directly into log files or another processing tool, making debugging simple.

Maintain Vendor and Customer Records with Wherefour's MCP Server

Set up a cron job to check supplier agreements. The script calls `list_vendors` to get all partners, then uses `get_inventory_item` to verify that each vendor provides the required components. This sequence confirms supply chain readiness without any graphical interface—just pure terminal output for your CI/CD logs.

Setup guide

Set up Wherefour MCP in Claude Code

Prerequisites

  • Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Run the add command

    Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.

  2. 2

    Verify the connection

    Start a Claude Code session and type /mcp to list connected servers. You should see wherefour-mcp with a green status indicator.

  3. 3

    Start using tools

    Ask Claude Code something like "Check my latest Wherefour transactions." It will automatically discover and invoke the available Wherefour tools.

Terminal
claude mcp add --transport http wherefour-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wherefour MCP in Claude Code

Run the command `list_customers` within your script. The MCP Server executes this, and you capture the resulting customer records as JSON output in your standard out stream.
Yes. You execute `list_purchases` from a script. This is ideal for background tasks where you need to process months of historical data, dumping it into an analytical database.
The script calls `list_formulas` directly. You can then pipe that list into a secondary tool—like a rate limiting checker—to validate recipe usage across your operation.
Use `list_stock_lots`. The resulting list of lot identifiers is clean data you can immediately pass into a subsequent script step for deep analysis or archiving.
The server deals with highly structured, transactional data: IDs (order ID, item ID), names (vendor name, customer name), and numerical metrics (quantity, amount). All output is machine-readable JSON.

Start using the Wherefour MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Wherefour. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.