LSEG has integrated its data and analytics offering into Google Cloud’s Gemini Enterprise, through its Model Context Protocol (MCP) connector.
Emily Prince
The collaboration is set to provide clients with governed access to AI-ready financial content, allowing firms to directly embed LSEG’s market data, timely news and analytics into workflows.
Gemini Enterprise is Google Cloud’s dedicated agentic end-to-end system, which comprises of agents that execute complex, multi-step work processes.
Emily Prince, group head of enterprise AI at LSEG, said: “Financial institutions are looking to move faster with AI. By bringing LSEG’s trusted data into Gemini Enterprise through MCP, we are enabling turn-key access to trusted financial content within the environments where they already work.”
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Specifically, LSEG’s MCP connector provides access to a variety of financial content such as pricing, macroeconomics, fundamentals, news, forecasts, estimates and financial analytical models.
As part of the collaboration, users are expected to be able to enhance their contextual research, market monitoring and risk workflows.
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“The most effective AI agents are only as good as the data they can access,” said Graham Drury, financial services director, UK, Google Cloud.
“By integrating LSEG’s financial data into Gemini Enterprise via the Model Context Protocol, we are removing the friction between raw information and actionable insight. This collaboration allows financial institutions to build sophisticated, data-driven agents all within a secure, enterprise-grade environment.”
LSEG has been building out its data and analytics offering over the past few months, and in February 2026, the firm entered a multi-year partnership with Standard Chartered.
The agreement will see the bank adopting LSEG’s multi-asset class data, news and analytics at enterprise scale, supporting Standard Chartered’s operating model by consolidating market data access across the organisation, introducing consistent rights management and delivery, and streamlining governance and entitlements.