Your financial data shouldn't be trapped in a single interface. Most teams already have a preferred AI assistant and want to put their operating data to work inside it. Now they can.
Niural MCP lets you securely connect your Niural data to the large language models you use, including Claude, ChatGPT, and other MCP-compatible tools.
What is Niural MCP?
MCP, or the Model Context Protocol, is an open standard for connecting AI tools to external systems and data sources. Niural MCP applies that standard to your workspace, creating a secure connection between your Niural data and the AI assistant of your choice, so you can query and analyze it without exporting spreadsheets or copying reports back and forth.
What you can access
This release focuses on Niural Pay and Reporting. Once connected, your AI tool can access:
- User information
- Wallet information
- Vendor and customer bills
- Niural Pay reports
From analyzing reports
With your Niural Pay data in your LLM, you can move past static reports and work with the numbers directly. Analyze financial data, ask questions in plain language, compare periods, spot trends, and summarize reports, all in the tool you prefer.
Instead of opening and cross-referencing several reports by hand, you might ask:
"Analyze my data for the last three months and show me where our spending increased the most."
Your AI assistant does the reading and the math. You get the answer, and every follow-up is just as easy to ask.
Why this matters
Your Niural data should be useful wherever you work, not only inside Niural AI. For finance and operations teams, that means less manual report-pulling, faster answers, and financial analysis built directly into the AI workflows you've adopted.
