Compatible with every major AI agent and IDE
Create record on Oracle NetSuite
Provide the record type and a JSON body with field values. Example record types: customer, salesOrder, purchaseOrder, journalEntry. Create a new NetSuite record
Delete record on Oracle NetSuite
This action is irreversible. Delete a NetSuite record
Execute suiteql on Oracle NetSuite
SuiteQL supports SELECT, JOIN, WHERE, GROUP BY, ORDER BY, and aggregate functions. Example: SELECT id, companyname FROM customer WHERE isinactive = 'F' ORDER BY companyname Execute a SuiteQL query
Get record on Oracle NetSuite
Common types: customer, vendor, salesOrder, purchaseOrder, invoice, employee, item, inventoryItem. Get a specific NetSuite record
Get record metadata on Oracle NetSuite
Useful for understanding what fields are available before creating or updating records. Get metadata for a NetSuite record type
List customers on Oracle NetSuite
List NetSuite customers
List records on Oracle NetSuite
Common types: customer, vendor, employee, salesOrder, purchaseOrder, invoice, inventoryItem. List NetSuite records by type
List sales orders on Oracle NetSuite
List recent sales orders
Update record on Oracle NetSuite
Only specify the fields you want to change. Update an existing NetSuite record
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.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What credentials do I need for NetSuite authentication?
You need 5 values for Token-Based Authentication (TBA): Account ID, Consumer Key, Consumer Secret, Token ID, and Token Secret. All are generated within your NetSuite account under Setup > Integration.
What can AI Agents do with Oracle NetSuite?
Integrate Oracle NetSuite to provide your custom AI agents with direct read and write access to the capabilities listed below.
Optimizing cloud erp with Claude
Add cloud erp functionality to your custom chatbots. The Oracle NetSuite MCP handles the payload formatting required for ChatGPT and Claude to interface with industry titans endpoints.
Connecting financial reporting with Cursor
Integrate financial reporting features into your LLM framework using Oracle NetSuite. The MCP server ensures precise command execution across your industry titans stack.
Oracle NetSuite. 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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