FactSet today introduced its first production‑grade Model Context Protocol (MCP) server, a platform that lets artificial‑intelligence systems query the firm’s curated financial data directly, bypassing warehouses, custom pipelines, and third‑party intermediaries.
The MCP server exposes nine key datasets in a single, governed API, and a beta program that began with 45 firms and more than 800 institutional users has already demonstrated real‑time integration into enterprise AI workflows.
The launch dovetails with FactSet’s broader AI strategy, which includes the GenAI‑powered “Mercury” chatbot and the “Intelligent Platform” initiative. By providing a production‑grade, open‑standard interface, FactSet is moving from a data vendor to a core AI infrastructure provider, deepening client stickiness and raising switching costs.
FactSet expects the MCP server to accelerate adoption of its data in AI applications, create new revenue streams from API usage, and strengthen its competitive moat against peers such as MSCI, S&P Global, and Bloomberg. The ability to embed authoritative market intelligence directly into models is a key differentiator that can drive higher subscription values and longer‑term client relationships.
CEO Sanoke Viswanathan said the launch “marks a pivotal step in our mission to become the leading AI‑powered financial intelligence platform.” Chief Data Officer John Costigan added that the MCP server “leverages APIs already trusted by hundreds of institutional clients and extends these capabilities for enterprise deployments.”
The announcement comes amid a broader market focus on AI investments, with analysts noting that FactSet’s AI initiatives are viewed positively but also raising concerns about margin impact from infrastructure spending. The MCP launch is seen as a strategic move to capture growing demand for AI‑ready financial data while managing the associated cost pressures.
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