Compatible with every major AI agent and IDE
Accept order on ManoMano (Home Improvement Marketplace)
Accept a pending ManoMano order
Get offer on ManoMano (Home Improvement Marketplace)
Get details for a specific ManoMano offer (price, stock, SKU)
Get order on ManoMano (Home Improvement Marketplace)
Get full order details including customer, addresses, and order lines
List brands on ManoMano (Home Improvement Marketplace)
List available brands on ManoMano
List categories on ManoMano (Home Improvement Marketplace)
List ManoMano catalog categories
List fulfillment stock on ManoMano (Home Improvement Marketplace)
Check stock maintained through ManoFulfillment (ManoMano warehouse)
List offers on ManoMano (Home Improvement Marketplace)
List all published offers on ManoMano
List orders on ManoMano (Home Improvement Marketplace)
List all received ManoMano orders
Ship order on ManoMano (Home Improvement Marketplace)
Ship an order by supplying a valid tracking number and carrier
Update offer price on ManoMano (Home Improvement Marketplace)
This is a reversible operation. Change the price of a specific offer
Update offer stock on ManoMano (Home Improvement Marketplace)
This is a reversible operation. Update the available stock count for a specific offer
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Can my agent check the stock levels in ManoMano's own warehouse?
Absolutely. Use the list_fulfillment_stock tool to retrieve the physical quantities maintained via ManoFulfillment. Your agent will report the current inventory levels available in the ManoMano managed warehouse.
Automated Workflows using ManoMano (Home Improvement Marketplace)
Securely interface Claude Code, ChatGPT, and Cursor with the ManoMano (Home Improvement Marketplace) API through semantic routing and standardized natural language triggers.
Prompting marketplace management Workflows
Connect the ManoMano (Home Improvement Marketplace) server to enable marketplace management workflows. The integration provides structured schemas for Claude to mutate supply chain data.
Execute order fulfillment Commands with AI
Provide Claude Code and Cursor with read and write access to order fulfillment. The ManoMano (Home Improvement Marketplace) toolkit handles all necessary routing for supply chain integrations.
ManoMano (Home Improvement Marketplace). Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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