Financial technology company Settle has launched a public API and Model Context Protocol (MCP) server, allowing businesses to connect its financial operations platform with external software, data warehouses and AI assistants such as Claude. The launch marks an expansion of Settle’s procure-to-pay capabilities, with a focus on enabling AI agents to access accounts payable information, support cash flow forecasting and coordinate purchasing workflows. The development targets inventory-based businesses, particularly consumer packaged goods (CPG) brands that rely on multiple disconnected systems to manage inventory, accounting and supplier payments.

Settle Opens Its Financial Platform to APIs and AI Agents

Settle is extending its financial technology infrastructure beyond its existing platform with the introduction of a public API and MCP server. The new interfaces allow businesses to connect Settle with their existing enterprise applications and AI assistants, creating additional ways to access financial and operational information.

The announcement reflects a growing effort across fintech to make financial systems accessible to AI agents rather than limiting automation to predefined workflows and traditional software integrations.

For inventory-based businesses, financial operations often involve several disconnected applications. A consumer packaged goods company might use Shopify for commerce, an ERP system for enterprise resource planning, separate accounting software, inventory management platforms, third-party logistics providers and spreadsheets for operational reporting.

These systems hold information that finance and operations teams need to reconcile before making purchasing and working capital decisions.

Settle’s API and MCP server are designed to connect its payables platform with this wider technology environment. Businesses can integrate Settle data into their own software and data warehouses while allowing compatible AI assistants to retrieve information and interact with supported capabilities.

MCP, originally introduced by Anthropic, provides a standardized way for AI applications to connect with external tools and data sources. Its adoption is relevant to enterprise software providers seeking to make their platforms accessible through different AI assistants without building a separate integration for every model.

Agentic Procure-to-Pay Moves Into Focus

Settle is positioning the release as an initial step toward what it calls agentic procure-to-pay.

Traditional procure-to-pay processes cover the activities involved in purchasing goods and services, from purchase requisitions and purchase orders to invoice processing, approvals and supplier payments.

Although many businesses have automated individual stages, the overall workflow can still involve manual data transfers, spreadsheet reconciliation and repeated checks across different applications.

Settle’s new integration layer is intended to make these processes more accessible to AI-powered workflows.

For example, a finance employee could ask an AI assistant how much the business expects to owe suppliers next month. Instead of manually gathering information from multiple screens, the assistant could retrieve relevant accounts payable data through connected systems and present an answer in seconds.

Other potential applications include custom cash flow dashboards, financial reconciliation and operational reporting.

Settle says early customers are already building custom dashboards and AI agents to support day-to-day business operations. However, the company has not disclosed customer numbers, transaction volumes or independently measured productivity improvements associated with these deployments.

The distinction between information access and autonomous execution will also matter as the platform develops. Retrieving supplier balances or preparing a cash flow report involves different permissions and risks from approving an invoice or initiating a payment.

Public APIs and MCP Strengthen Financial System Connectivity

The API and MCP launch also reflects a change in how fintech platforms approach interoperability. Traditionally, businesses connected financial applications through custom integrations, middleware and predefined data pipelines. MCP introduces another integration option, allowing compatible AI clients to discover and use tools exposed by external platforms through a standardized interface.

For Settle, this creates an opportunity to make accounts payable information available within AI-assisted business workflows. Instead of treating financial management as a separate application, companies can bring payment and cash flow information into the environments where purchasing, inventory and operational decisions are already made.

The market opportunity is supported by broader enterprise AI adoption. McKinsey’s 2025 State of AI survey found that 62% of respondents said their organizations were experimenting with AI agents, while 23% reported scaling agentic AI systems somewhere in their businesses. However, most deployments remained limited in scope. McKinsey & Company

That gap between experimentation and scaled deployment is important for financial software providers. Making data accessible to an AI assistant is only one part of the process. Businesses also need dependable integrations, permission controls, accurate financial records and safeguards around sensitive payment operations.

Settle’s API and MCP server provide an integration foundation, but the company has not detailed the full scope of agent permissions, approval workflows, authentication mechanisms or autonomous payment capabilities available at launch.

The Road Ahead for Agentic Procure-to-Pay

Settle’s longer-term ambition is to extend AI agent capabilities across procurement, payables and working capital management. This could eventually connect supplier purchasing decisions with invoice processing, payment scheduling and cash availability.

For inventory-based companies, the connection is particularly relevant. Purchasing too much inventory can tie up working capital, while delayed supplier payments can disrupt supply relationships. Bringing purchasing commitments, inventory data and upcoming liabilities into a connected financial workflow could help businesses make more informed decisions.

The competitive landscape includes established financial management and accounts payable platforms, alongside newer fintech infrastructure providers integrating AI into business operations. Settle’s focus on CPG brands and inventory-based businesses gives its integration strategy a specific operational context.

The important question is whether AI agents can progress from answering financial questions to reliably coordinating multi-step procure-to-pay processes. That transition will depend on integration depth, data quality, human oversight and the ability to maintain financial controls.

With its public API and MCP server, Settle is opening another route for businesses to connect financial operations with AI-powered software. The launch does not yet establish fully autonomous procurement or payments, but it provides infrastructure for moving toward more connected, agent-assisted financial management.

Market Landscape

The launch reflects three developments in financial technology:

• API-driven embedded finance: Financial platforms are opening their infrastructure to external applications, enabling businesses to connect payment and accounting data across systems.
• MCP-enabled enterprise AI: Standardized connections are making it easier for AI assistants to access business software, financial records and operational tools.
• Agentic financial operations: AI agents are moving beyond reporting and information retrieval toward coordinating purchasing, invoice management and payment workflows.

Settle’s positioning is particularly relevant to CPG and inventory-based businesses, where supplier obligations, inventory purchases and cash flow decisions are closely connected.

Its longer-term competitive opportunity will depend on whether it can turn API connectivity into reliable, permission-controlled automation across the procure-to-pay lifecycle.

Top Insights

• Settle has launched a public API and MCP server to connect its financial platform with external software, data warehouses and AI assistants.
• The integration enables AI assistants such as Claude to access accounts payable information and support cash flow analysis.
• The launch targets inventory-based businesses, particularly CPG brands managing disconnected commerce, accounting, ERP and inventory systems.
• Early customers are developing custom cash flow dashboards and AI agents to support everyday financial and operational workflows.
• Settle plans to expand agent capabilities across procurement, payables and working capital management, moving toward agentic procure-to-pay.

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