LSEG today announced that it is making its trusted, licensed data and analytics available in Model ML through its Model Context Protocol (MCP) connector, enabling secure access to AI-ready financial content within financial services workflows.
Model ML is an AI workflow automation platform for financial services, with purpose-built agents and applications that support research, analysis and end-to-end workflow automation.
The integration will allow users to access LSEG content including pricing, company reference data, estimates, fundamentals, ownership, macroeconomic indicators, ESG data, news, forecasts and financial analytical models.
Emily Prince, Group Head of Enterprise AI, LSEG, said:
“By bringing LSEG’s trusted, licensed data into Model ML through MCP, we are helping financial institutions apply AI to real workflows with greater confidence. This gives users access to high-quality financial content where research, analysis and decisions are already taking place.”
Chaz Englander, Co-Founder and CEO, Model ML, said:
“Access to trusted financial data is critical for effective AI in financial services. Through this collaboration with LSEG, Model ML users will be able to connect high-quality market intelligence to AI-powered workflows and agents in a secure, enterprise-ready environment.”
