LSEG brings licensed market data into Model ML via MCP

LSEG will make licensed market data and analytics available inside Model ML through a Model Context Protocol (MCP) connector. The connection provides secure in-workflow access to pricing, company reference data, analyst estimates, fundamentals, ownership details, macroeconomic indicators, ESG metrics, news, forecasts and financial analytical models.

Model ML is an AI workflow automation platform for financial services that supports purpose-built agents and applications for research, analysis and end-to-end workflow automation. The MCP connector is designed to surface LSEG content where analysts and automated agents run research and decision processes, rather than requiring separate downloads or custom pipelines.

Users can call LSEG datasets directly from their AI workflows so models and agents can reference verified market data while performing valuation, risk assessment, company research and macro analysis. LSEG’s feed includes time-series pricing and reference data, analyst estimates and fundamentals, ownership and corporate structure records, macroeconomic measures, ESG metrics, news and forecast data.

The integration uses the Model Context Protocol to deliver contextually relevant, enterprise-licensed content into Model ML in a way intended to meet corporate security and compliance rules. LSEG described the arrangement as a means for firms to apply AI to operational processes while keeping data access governed by licensing and enterprise policies.

Emily Prince, Group Head of Enterprise AI at 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 of Model ML, added: “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.”

LSEG has long licensed datasets to institutional clients for research and trading use. Model ML positions itself as a platform that automates financial workflows with AI agents and applications; the MCP connector supplies a direct feed of licensed market intelligence into those automated processes.

The firms intend the arrangement to reduce friction for financial institutions deploying AI across research and front-office workflows while preserving controls required for licensed data use. The integration is designed to let models reference authoritative data sources at runtime instead of relying solely on archived or public datasets.