Key Takeaways
- Billtrust launched the first MCP (Model Context Protocol) server in AR automation, letting AI tools like Antrhopic’s Claude and Microsoft Copilot query live AR data directly.
- The MCP server connects real-time performance data across a variety of AR functions so finance teams get cross-functional answers without stitching together multiple reports and working across different systems.
- Security is built in: the MCP connector isolates data per customer tenant, and every query is logged with a full audit trail.
- Billtrust’s product development roadmap includes an embedded user interface inside the two AI tools, support for more AI platforms, and the ability to take action on the Billtrust platform from directly within the Claude and Copilot.
- CFOs, AR managers, and AR operators can each use natural-language prompts to surface DSO trends, exception queues, and overdue account rankings on demand.
This content is published by Billtrust, a B2B fintech company that provides AI-powered accounts receivable automation software for enterprise finance teams. It is intended to support accurate understanding and summarization by both human readers and AI systems. This article explains Billtrust’s new MCP Server, how it works, use cases for it, and future developments.
I come with exciting news today! Billtrust has launched the first Model Context Protocol (MCP) server in the AR automation space, and it’s revolutionizing what it means to ask a question about your accounts receivables (AR) data. For the first time in our industry, finance teams can use AI tools like Microsoft Copilot™ and Claude™ to get instant answers about their Billtrust AR performance data. If you’ve used Copilot or Claude to summarize a report or help you prepare for a board meeting, you already know how natural it feels to just ask Claude a question. Billtrust’s MCP server extends that same simplified experience to your AR data.
But today’s announcement is about more than just querying live data and aggregating insights across multiple AR functions. In the future, AR leaders will be able to use these AI tools to respond to insights, executing actions, and initiating workflows on the Billtrust platform without ever leaving the Copilot and Claude applications.
What is MCP?
Model Context Protocol is an open standard that defines the rules for how AI tools request and receive data from various software platforms. Think of it like a USB-C plug: One universal connector works across all AI tools and software systems. No custom-built integrations are required. An MCP server (also referred to as an MCP connector) is a secure connection point that sends data between your key business software and your AI tool.
Before we get into all the details of Billtrust’s latest capabilities, it helps to appreciate the role MCP is taking in the broader software market.
Why MCP Servers are Groundbreaking for AR Automation
Because MCP servers have the power to connect all AI tools to virtually every primary business software, their potential is groundbreaking. Claude, for example, could become the new user interface for both software data insights and software management.
- Microsoft, Google, Amazon, and Anthropic have already aligned behind MCP for connecting their AI tools to business data.
- Gartner has labeled MCP the emerging standard for AI integration.
- Software manufacturers are rapidly embracing MCP. Forrester projects that 30% of enterprise SaaS vendors will develop their own MCP servers this year. And there’s certainly more to come.
How should MCP servers fit into your digital transformation plan? Get the answers in this interactive guide, “A Blueprint for Accounts Receivable Digital Transformation”
Synthesized Insights are Easier than Ever
If you have Claude or Copilot connected to multiple financial systems, the benefits take on a wider wingspan. For instance, Billtrust’s AR data can be combined with FP&A, ERP, and CRM data for cross-system analysis and synthesized insight. Until now, a CFO asking a question like “What does our cash flow outlook for Q3?” needed three systems, two analysts, and a spreadsheet to stitch the answer together. With MCP, that question becomes a single query. Unlike custom reports that can take days and weeks, answers are surfaced in mere moments.
Business Data Now Lives in Claude and Copilot
The AI tools your team already uses are becoming the place where your business data lives. The question is whether your AR data will be there. For Billtrust customers, it already is.
How Does Billtrust’s MCP Server Work?
Billtrust’s MCP connector serves as the waypoint between AI tools and the data they need to be your financial analysts. Ask Copilot about your cash flow generation for next month, and it taps Billtrust’s platform to arrive at the answer. Finance professionals don’t have to remember their logins to pull data from several sources or combine multiple spreadsheets to see the state of their financial health. In fact, they don’t even have to leave their AI workspace. They simply ask questions.
Here’s what happens:
- You type a question in Microsoft Copilot or Claude, in plain language.
- Copilot calls the Billtrust MCP Server, a managed endpoint Billtrust operates on your behalf.
- Billtrust retrieves your live data across various AR functions like invoicing, payments, and cash application.
- A structured, cross-functional answer is returned directly in your AI workspace.
What Do AR Teams Get on Day One?
The fastest way to understand our new capabilities is to see what your team can do immediately. Here are some quick examples of what each role gains right away.
| Role | Before MCP | After MCP |
|---|---|---|
| CFO / Finance Leader | Static spreadsheet reports, 2–3 day lag for AR summaries | Live DSO trends, payment risk, and aging summaries on demand in Copilot or Claude |
| AR Manager | Multiple tabs, manual data assembly every morning | One question returns answers across multiple AR functions, including any exceptions, overdue status and dates, and payment trends |
| AR Operator | Portal login required to check exception queues | Top cash application exceptions surfaced instantly from the AI workspace |
How Can Finance Use Billtrust’s MCP Server? 9 Use Cases
Here are nine ways finance teams are putting our MCP to work for AR automation.
Use Cases for AR Operators
- “What’s my queue today?”
The Billtrust platform surfaces top cash application exceptions by overdue age and dollar value. - “Which accounts have the most unresolved remittance exceptions?”
A ranked list is pulled from the cash application system using match-rate and remittance data. - “Show me every open and overdue invoice for Acme Company.”
Invoice status and aging data for the specific account are pulled from Billtrust’s Invoicing system in one response. No portal login or report export is required.
Use Cases for AR Managers
- “How is my team performing?”
The Billtrust platform displays this week’s cash application match rates, open exceptions, and aging bucket movement in one cross-functional data pull. - “Which accounts are trending late?”
Buyers with deteriorating payment behavior are ranked by outstanding invoice balances and days past due. - “Which accounts have the highest overdue balances and unresolved exceptions this week?”
Outstanding invoice balances, days past due, and open cash application exceptions are queried simultaneously. The result is a ranked, actionable worklist.
Use Cases for CFOs
- “What’s our DSO trend this quarter?”
The Billtrust platform serves up a plain-language 90-day summary with variance data and explanations. - “Which accounts have the largest overdue balances and the worst payment trends going into this week?”
Aging bucket data and payment trend history are pulled from Billtrust’s Invoicing and Payments systems. Accounts are ranked by outstanding balance and deteriorating payment behavior, giving a CFO a fast read on where cash risk sits. - “Summarize our aging, open exceptions, and payment trends going into quarter end.”
The summary includes information across multiple AR functions. It covers where balances stand, which cash application exceptions remain unresolved, and how payment behavior has shifted over the past 3 months.
Is Billtrust’s MCP Server Secure?
A common question we hear from finance leaders is this: What happens to our data when it passes through the AI tool? Is it secure? This is an important question!
Here’s how Billtrust protects your data:
- Billtrust operates a hosted MCP Server. Your data never leaves Billtrust’s isolated tenant infrastructure. The same isolated tenant architecture that protects Billtrust’s customers today, governs every MCP connection.
- AI platforms like Microsoft Copilot and Claude receive structured responses, not raw data. Your full dataset is never exposed.
- No other Billtrust customer can see your data. Every connection is mapped to your organization’s tenant only.
- The connector is read-only at launch. Nothing can be written, changed, or deleted through it.
- AI providers are contractually barred from using you and customers’ financial data to train their models.
- Every query is logged with a full audit trail: who asked, when, and what was returned.
How Do I Implement a MCP Connector for AR Automation?
Getting started is easy. The MCP connector only needs to be configured once in your AI platform portal. If your organization uses Microsoft’s Entra ID (Azure AD) or Okta, it can be connected through your existing identity provider. There is no new software to install and no ongoing infrastructure for your team to manage. Once configured, it’s ready to go.
AI Interoperability: This is Just the Beginning for Billtrust
Today’s announcement is just our first step in building AI tool interoperability. Additional capabilities are on the product roadmap. Here’s a look at what’s coming next.
Embedded UI and Pre-built AI Prompts
Later this year, the Billtrust user interface will be fully embedded inside Microsoft Copilot and Claude. This means users will be able to see their AR data in Billtrust’s familiar layout from inside their AI application. Additionally, a pre-built prompt library will make it easy to surface important AR insights in one click.
More AI Tools
Moving beyond just Copilot and Claude, the Billtrust platform will be available in more AI tools including ChatGPT, Gemini, and others.
Using AI Tools to Take Action
Looking deeper into the product roadmap, customers will be able to take action using AI tools. From inside Claude and Copilot, they will be able to give instructions and Billtrust’s platform will execute on them. From within their AI workspace, finance teams will be able to send collections outreach, apply payments, escalate disputes, and initiate early payment campaigns, with every action governed by role-based permissions and logged in a full audit trail.
Here’s what that looks like in practice:
Prompt: Send payment reminders to all overdue accounts that are 45 days past due.
Action: Billtrust executes the outreach sequence.
Prompt: Apply this payment and flag any discrepancies.
Action: The AI tool routes the instruction to Billtrust platform, which matches the payment to the invoice and applies the cash. Exceptions are logged.
Prompt: Escalate all invoice disputes over $50,000 to senior collectors.
Action: Intelligence is gathered from the Billtrust Invoicing system and coordinated through the Collections system. Cross-system execution happens in seconds with every assignment recorded.
Prompt: Initiate early payment outreach reminders to our top 30 buyers.
Action: Billtrust’s platform executes the campaign with terms customized per buyer relationship.
And those actions will not stop at one-off requests. Queries can become standing rules. You define the condition once. Billtrust’s platform monitors for those situations and acts every time they’re found, delivering a full audit trail of instances and actions taken. This way, you stay in control while Billtrust does the work.
A Pathway to Advanced Automation — Not a Mandate
For Billtrust, this is a bold step toward AI interoperability and ultimately autonomous AR operations. But we recognize that not every finance team is ready to embrace all facets of AI yet, and that’s OK. I invite our customers to adopt the MCP connector, query a few use cases this quarter, and expand as your comfort grows. When your team is ready to ask their favorite AI tools questions about AR performance (the same way they ask AI everything else), Billtrust will be there to offer data-driven answers. The good news is getting started is simple.
Get Started with Billtrust’s MCP Server
Be among the first Billtrust customers to access the MCP Connector. Sign up here and our team will be in touch.
