Bringing trusted financial data into Gemini Enterprise
Our collaboration with Google Cloud brings LSEG’s trusted, licensed data and analytics into Gemini Enterprise — Google Cloud’s end-to-end system for the agentic era, built for agents that can execute complex, multi-step work processes — through LSEG’s MCP connector.
The collaboration is designed to help financial institutions connect market data and timely news and analytics directly into workflows, while maintaining governance and enterprise-grade controls.
Features and benefits
Financial workflows with LSEG and Google Cloud
LSEG’s trusted, licensed data and analytics in Gemini Enterprise, enabling secure, governed access to AI-ready financial content across research, market monitoring and risk workflows.
With LSEG’s trusted, licensed data available via its MCP connector, and Gemini Enterprise built to execute complex, multi-step work processes, our customers can access trusted financial content within the environments where they already work.
LSEG’s trusted data combined with Google Cloud’s enterprise-grade controls enables financial institutions to connect market data and analytics directly into workflows while maintaining governance.
LSEG’s financial data and analytics integrated into Gemini Enterprise via MCP helps our customers accelerate contextual research, strengthen market monitoring and risk workflows.
Access LSEG financial content in Gemini Enterprise
The MCP connector enables access to a broad range of financial content, including:
- pricing
- macroeconomics
- fundamentals
- news
- forecasts
- estimates
- financial analytical models
Announcing our strategic collaboration
What our leaders are saying
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.
Emily Prince
The most effective AI agents are only as good as the data they can access. 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.
Graham Drury
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