The collaboration enables scientists to access data and scientific knowledge through an artificial intelligence workbench.


Revvity Signals Software has joined Anthropic’s directory for Model Context Protocol (MCP) connectors, allowing scientists to access research and development data through the artificial intelligence model Claude.

The integration includes access to Claude Science, an artificial intelligence workbench for scientific research. Through the connector, Claude can access information via an intelligence layer, which helps researchers search and analyze complex research and development data using natural language, according to a press release from Revvity.

“Signals AI was designed to help scientists transform connected R&D data into understanding, decisions and action,” says Kevin Willoe, president of Revvity Signals Software, in a release. “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 integration complements a recently launched framework that embeds artificial intelligence capabilities across the Signals One platform. The new connector allows scientists who use Claude to securely access their connected data and scientific context from the software platform.

By connecting the artificial intelligence to the software platform, scientists can access organizational knowledge, experimental data, and scientific context through natural language interactions, according to the press release. The company states the system is intended to maintain traceability and scientific precision while helping researchers act on complex data.

The collaboration aims to combine artificial intelligence capabilities with scientific workflows to help accelerate research and development, according to Revvity. Scientists can now use Claude to interact with connected knowledge managed across the software business’s offerings.

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