Florence Healthcare has made significant strides in clinical operations workflows by unveiling the Model Context Protocol (MCP) access for its comprehensive application suite during the 2026 DIA Global Annual Meeting in Atlanta, held on June 16, 2026. This expansion allows AI agents to seamlessly integrate with Florence’s ecosystem, which consists of eleven specialized workflow tools across a vast network of 65,000 research sites and 30,000 active protocols.
This development signals a pivotal transformation in how clinical trials are conducted, shifting away from conventional software interfaces to a more agent-oriented framework. With the introduction of an MCP server and tailored SDKs, Florence empowers both sponsor and site AI agents to securely analyze, query, and respond to real-time site conditions. The suite’s compatibility with the open Model Context Protocol ensures smooth functionality with leading AI platforms like Anthropic's Claude and OpenAI's ChatGPT, as well as custom-built agents.
"Andres Garcia, Chief Technology Officer at Florence Healthcare, remarked, ‘Over the past ten years, we have established an influential digital presence by resolving critical workflow challenges." He added, “Today, we’re enhancing that presence with intelligence. By making our entire suite accessible via the Model Context Protocol, we are eliminating barriers between data and action. This is not just an additional dashboard; it’s an intelligent agent capable of navigating through 30,000 protocols to identify immediate priorities.”
With the launch of MCP access, a new era of agent-driven workflows has emerged. During a live demonstration at the DIA event, Florence showcased a "Trial Intelligence" workflow whereby site coordinators or CRAs can oversee a study using a straightforward natural language interface. Instead of manually checking folders, users can inquire, “What am I missing for the Protocol 123 amendment package at this site?”
Leveraging the secure MCP framework, the AI agent can quickly cross-reference various aspects, including:
1. **Missing Documents**: Identifying necessary IRB approvals or updated 1572s that are pending filing. 2. **Skipped Tasks**: Spotting deficiencies in training compliance or site-level processes that may hinder study activation. 3. **Study Progress**: Presenting real-time comparisons of expected versus actual document completion and personnel readiness.
Garcia noted, “The administrative hurdles faced by sites and sponsors are the most significant bottlenecks in clinical research. With MCP, we can automate the investigative aspects of clinical operations. An agent can uncover a missing document or overlooked task across our 11 workflow tools before it jeopardizes timelines, which ultimately frees up countless hours for coordinators to focus on what truly matters: patient care.”
This release also caters to the increasing demands of global sponsors managing numerous sites within the Florence network. By integrating AI capabilities into their existing digital infrastructure, sponsors can deploy custom agents to monitor site performance, predict enrollment risks using historical data, and streamline electronic trial master file (eTMF) reconciliations.
Florence Healthcare stands as a leading provider of clinical trial site software, supporting over 65,000 research sites and collaborating with 600 sponsors and CROs across 90 countries. The Florence Trial Operations Platform efficiently bridges the gap between sites and sponsors, enhancing study initiation processes by as much as 70% through AI-driven contracting, document management, and remote monitoring.
