On June 16 2026, at the DIA Global Annual Meeting, Florence Healthcare revealed a move that could change the way clinical trials are managed: its entire application suite now speaks the Model Context Protocol (MCP). The update gives artificial‑intelligence agents direct, native access to the company’s eleven specialized site‑workflow tools, which serve a network of more than 65,000 research sites and 30,000 active protocols.

The announcement marks a shift from traditional software interfaces to an agent‑ready infrastructure. Florence supplies an MCP server and software development kits that allow sponsor and site AI agents to securely query, analyze, and act on “site reality” in real time. Because the suite is exposed through the open MCP, it works natively with leading AI assistants such as Anthropic’s Claude and OpenAI’s ChatGPT, as well as any custom or sponsor‑built agent.

According to the company’s chief technology officer, Andres Garcia, the platform has “built the industry’s most robust digital footprint by solving the most critical workflow problems.” He added that exposing the suite through MCP removes friction between data and action, turning the system into an agent that can navigate 30,000 protocols to find what needs attention.

A key demonstration at DIA was a “Trial Intelligence” workflow. Site coordinators or clinical research associates (CRAs) can manage a study through a natural‑language interface. For example, a user can ask, “What am I missing for the Protocol 123 amendment package at this site?” The AI agent, using the secure MCP layer, instantly cross‑references missing documents, skipped tasks, and study progress. The system can identify required IRB approvals, updated 1572s that have been received but not filed, gaps in training compliance, and real‑time summaries of expected versus actual document completion.

Garcia noted that “the administrative burden on both sites and sponsors is the single greatest bottleneck in clinical research.” With MCP, the platform can automate the detective work of clinical operations, surfacing missing documents or skipped tasks across the eleven workflow tools before they become a risk to the study timeline. The company estimates this can return thousands of hours to coordinators, allowing them to focus on patient care.

For global sponsors, the MCP integration offers scalable intelligence. By attaching the AI layer to existing digitization infrastructure, sponsors can deploy custom agents that monitor site health, predict enrollment risks based on historical patterns, and automate electronic trial master file (eTMF) reconciliation.

Florence Healthcare currently supports more than 65,000 research sites and 600 sponsors and contract research organizations across 90 countries. The Trial Operations Platform claims to accelerate study startup by up to 70 % through AI‑enabled contracting, document exchange, and remote monitoring.

The company’s announcement comes as the Model Context Protocol, introduced by Anthropic in November 2024, has been adopted by major AI providers, including OpenAI and Google DeepMind. MCP standardizes how large language models read files, execute functions, and handle contextual prompts, enabling more seamless integration with external systems.

Florence’s move to expose its entire suite through MCP positions the company at the forefront of agent‑ready clinical trial technology. The release is expected to influence how sponsors and sites interact with digital tools, potentially reshaping workflow efficiency across the global clinical research ecosystem.

The company confirmed the launch via a press release and provided contact details for media inquiries.