Revvity has expanded its AI strategy by bringing its Revvity Signals Software business into Anthropic's Model Context Protocol (MCP) connector directory.
This will allow scientists to securely access Signals AI capabilities and connected R&D knowledge through Claude, including Claude Science, Anthropic's AI workbench for research.
The integration is designed to address one of the biggest hurdles in AI-driven research: giving large language models secure access to trusted scientific data and organizational knowledge.
Through the Signals MCP connector, Claude can tap into Signals' intelligence layer, enabling researchers to search, interpret and act on complex R&D data using natural language while preserving scientific context and governance.
"Signals AI was designed to help scientists transform connected R&D data into understanding, decisions and action," said Kevin Willoe, president of Revvity Signals Software.
"By joining Anthropic's MCP ecosystem, we're extending the reach of our Signals AI beyond our Signals One platform and enabling researchers to combine Claude's reasoning capabilities with the governed data, ontology-driven scientific context and trusted knowledge managed across the entire Revvity Signals offering."
The announcement builds on the recent launch of Signals AI's native agentic framework, which embeds AI capabilities throughout the Signals One platform.
While Signals AI integrates leading large language model (LLM) capabilities directly into the platform, the new MCP connector extends those capabilities to scientists working within Claude, providing secure access to connected R&D data, experimental results and scientific context through natural language interactions.
By linking Claude with the Revvity Signals platform, researchers can draw on organizational knowledge and scientific data while maintaining traceability, governance and scientific precision—key requirements for AI-powered research in regulated environments.
