LoanPro Launches MCP to Power AI-Driven Credit Servicing

LoanPro Launches MCP to Power AI-Driven Credit Servicing

A new LLM-agnostic framework is helping financial institutions modernize lending and credit services while ensuring compliance and auditability.

LoanPro, a leading modern lending and credit platform, has announced the launch of its Model Context Protocol (MCP) a groundbreaking, model-agnostic gateway that enables clients and partners to safely test and develop AI-powered credit servicing and collections solutions. The innovation is designed to help financial organizations harness the power of artificial intelligence while maintaining strict compliance, auditability, and regulatory safeguards.

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With MCP, LoanPro is setting a new standard in how financial institutions approach AI. The platform allows lenders to define and operationalize a future-ready model that blends human and AI interactions, preparing them for a time when AI agents play a crucial role in customer servicing and collections.

This launch represents a major milestone in LoanPro’s ongoing commitment to modernizing the lending industry. It builds on the company’s multi-year AI strategy aimed at helping financial organizations innovate without compromising compliance or control.

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“Financial organizations want to innovate with AI, but they can’t afford to compromise compliance or control,” said Colin Terry, Chief Product Officer at LoanPro. “LoanPro MCP bridges that gap. It empowers financial organizations to plug their chosen AI models directly into LoanPro’s compliant infrastructure to answer questions, recommend actions, or execute servicing tasks all while staying within regulatory boundaries.”

Unlike traditional chatbot integrations, LoanPro’s MCP functions as a secure bridge between AI models and LoanPro’s core platform. This allows financial institutions to safely connect their own AI systems, ensure compliance before any servicing or collections actions occur, and maintain a complete audit trail for both human and AI-driven activities. The result is faster, more transparent servicing where AI agents can interact directly with loan data, surfacing insights in seconds instead of hours.

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According to Cesar Olea, CTO at LoanPro, the introduction of MCP is a step toward building the infrastructure that tomorrow’s AI-driven servicing environments will require. “This is about anticipating and building the AI infrastructure that modern and future servicing will demand,” he explained. “LoanPro MCP packages the rules of engagement, compliance policies, and system context that an AI agent needs on day one. It’s designed to feel as if companies are instantly onboarding a new servicing employee. Ultimately, we’re building LoanPro in a way that allows financial organizations to fully transition from human to AI servicing agents without sacrificing compliance.”

Through MCP, LoanPro is redefining what it means to build trust, transparency, and innovation into the lending lifecycle paving the way for a smarter, safer, and more efficient era of credit servicing.

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