B2B Order Management with AMP Tab
How BrokenRubik optimized B2B order management for RST Brands with AMP Tab and NetSuite integration.
Securely connect your preferred AI agents to your NetSuite data using the Model Context Protocol (MCP)—without waiting for the roadmap.
Custom MCP tools · SuiteScript 2.1 · Zero-hallucination schemas · Works with Claude, ChatGPT & more
You tried ChatGPT with your data. It hallucinated invoice numbers, invented customers, and suggested workflows that don't exist in your system.
NetSuite's built-in AI features are years away from solving your specific problems. Your competitors aren't waiting.
Your CTO wants AI but won't risk exposing NetSuite data to third-party services without proper guardrails and access controls.
Off-the-shelf AI integrations don't understand your custom records, workflows, or the way your team actually uses NetSuite.
We specialize in MCP Toolsmithing—building bespoke SuiteScript 2.1 “tools” that allow your AI to safely read your unique schema and execute complex workflows.
of enterprises investing in AI by 2026
productivity gains with AI automation
accuracy with custom MCP tools
average time to first deployment
We build the bridge between AI and your NetSuite. Every tool is custom, secure, and built to your exact data model.
We design and build SuiteScript 2.1 tools that give AI agents safe, structured access to your NetSuite data. Every tool maps to your exact schema—custom records, custom fields, saved searches. The AI can only do what the tool allows, with strict input/output validation that eliminates hallucinations.

Custom MCP tools deliver measurable improvements in AI accuracy, deployment speed, and operational efficiency within your NetSuite environment.
Average deployment

AI accuracy with custom tools
MCP tools deployed
NetSuite environments connected
See how we help companies connect AI to their NetSuite environments with custom MCP tools and secure integrations.
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A streamlined process to get your AI agents connected to NetSuite. Total timeline: 2-4 weeks for most implementations.
We audit your NetSuite environment, identify your highest-value AI use cases, and map your custom schema.
We design the MCP tool architecture: which actions, what data access, which roles, and how each tool handles errors.
We develop the SuiteScript tools, generate JSON schemas, and test against real data scenarios in your sandbox.
We deploy to production, connect your AI agents, and train your team to maintain and extend the tools.
Tell us your highest-priority use case. We'll assess your environment and show you exactly what's possible\u2014no sales pitch, just technical clarity.
Free initial assessment. We'll tell you honestly if MCP is the right fit for your use case.
MCP is an open standard created by Anthropic that lets AI models securely connect to external data sources. Instead of copying your data into an AI platform, MCP lets the AI query your systems directly through structured tools—with full permission controls. Think of it as an API specifically designed for AI agents.
That's the whole point. Off-the-shelf AI tools only understand standard NetSuite fields. We build tools that map your exact configuration—custom records, custom fields, saved searches, and workflows. The more customized your NetSuite, the more value you get from custom MCP tools.
Yes. MCP tools operate within NetSuite's existing security model. Every tool respects role-based access control, so an AI agent can only access data that the associated NetSuite role permits. No data leaves your environment unless you explicitly configure it to.
No. MCP is model-agnostic. We build the tools once, and they work with Claude, ChatGPT, Gemini, or any MCP-compatible AI. If you switch models later, your tools still work.
Whatever you build tools for. Common examples: querying open AP invoices, checking inventory across locations, generating financial reports, auditing user activity, creating purchase orders based on reorder points, or routing approval workflows. If it can be done via SuiteScript, it can be done via MCP.
Most projects take 2-4 weeks from kickoff to production. We start with your highest-priority use case, deploy it, and iterate from there. You can start seeing value within the first week.
The tool rejects it. Every MCP tool has strict input validation and output schemas. If an AI tries to access a record it doesn't have permission for, or sends invalid data, the tool returns an error—not a hallucination. We also log every interaction for audit purposes.
Still have questions? Drop us a message, we'd love to hear from you!
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