Statista’s new Model Context Protocol (MCP) server aims to bring over 1 million reliable data points directly into the AI platforms professionals use daily, as AI assistants and automation tools become integral to business decision-making.
Statista, a leading provider of verified market and consumer data, has launched its Model Context Protocol (MCP) server, extending access to over 1 million reliable data points across popular AI assistants and automation platforms. This builds on the company’s earlier API-first offering, Statista Connect, which enabled third-party integration of Statista’s trusted data.
The new MCP server allows users to access verified Statista data directly within AI ecosystems, including OpenAI, Claude, and Gemini. The solution is designed to support fact-based decision-making and provide seamless integration into existing workflows, aiming to help organizations scale AI usage while ensuring data accuracy and reliability.
“By making our data natively accessible across leading AI platforms, we aim to embed trusted market intelligence directly into business-critical decisions,” said Viviane Minz, Vice President of API & Ecosystem Partnerships at Statista. “Our goal is to give professionals confidence that the insights driving their workflows are accurate, verifiable, and actionable.”
According to Statista, customers can connect to the MCP server with minimal configuration, enabling AI assistants and automated tools to incorporate verified data at scale. The company positions this development as a step toward more secure and consistent integration of high-quality market information in AI-driven decision-making processes.
The MCP server solutions are growing more popular on the market lately. We have earlier reported that Balance launched MCP server to enable real-time, AI-driven management of B2B payments.
