Launch of Central Bank Model Context Protocol

Summary by AI BETAClose X

Insig AI plc has launched its Central Bank Model Context Protocol (MCP) server, designed to connect and complement Large Language Models with its extensive machine-readable central bank dataset. This new offering allows financial professionals to interrogate over 15,000 documents from 60 central banks spanning more than 10 years, containing 2.39 million structured sentences, enabling real-time decision-making prompts and trading signals. The company believes this provides a significant information edge by collapsing days of research into instant insights, addressing a critical market need for processing the complex and voluminous communications from central banks.

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Insig AI Plc
13 April 2026
 

This is a Reach announcement and the information contained is not considered to be material or to have a significant impact on management's expectations of the Company's performance.

13 April 2026

Insig AI plc

("Insig AI" or the "Company")

Insig AI launches Central Bank Model Context Protocol (MCP) server connecting and complementing Large Language Models with the Insig AI Central Bank Dataset

Insig AI plc (AIM: INSG), a leading provider of AI-led analytics and machine-learning solutions, is delighted to announce the launch of its Central Bank Model Context Protocol ("MCP") server. This will enable traders, portfolio managers and investment decision makers to directly interrogate what the Company believes is the world's most extensive machine-readable central bank datasets through any major Large Language Model. This provides almost instant decision-making prompts and trading signals by collapsing what previously required days of analyst research into real-time, on-demand insight, giving alpha generators a decisive information edge in an increasingly policy-driven market.

Addressing a Critical Market Need

Central banks have moved to the centre of global financial markets. Against a backdrop of persistent geopolitical uncertainty, shifting trade dynamics and divergent monetary policy paths, what central banks communicate has become as consequential as the decisions they take. Yet the volume and complexity of their output, spanning policy statements, minutes, speeches and press conferences across dozens of institutions, has far outpaced the capacity of traditional research workflows to process it. The result is a widening gap between the intelligence that is available and the intelligence that reaches the people who allocate capital.

Insig AI's Central Bank MCP closes that gap, enabling AI systems to reason over trusted, structured central bank data without intermediaries, manual pipelines or bespoke integrations and placing the resulting insight directly in the hands of those whose decisions drive returns.

Unmatched Scale and Depth

The MCP server connects directly to the Insig AI Central Bank Dataset, which Insig AI believe is the most comprehensive global collection of machine-readable central bank communications currently available on the market. The dataset currently comprises:

•     60 central banks covered worldwide (and expanding)

•     10+ years of historical policy communications

•     Over 15,000 documents including statements, minutes, speeches and transcripts

•     2.39 million machine-readable sentences, structured and ready for interrogation

By connecting this dataset through a production-grade MCP server, Insig AI enables researchers, analysts, portfolio managers and decision makers to conduct deep, cross-institution analysis at a speed and scale that was previously impossible, directly within the AI tools they are already adopting. The result is secure, reliable and almost instantaneous trading prompts and signals based on analysing and interpreting vast swathes of data.

Richard Bernstein, Chief Executive of Insig AI, commented:

"At a time when the latest Large Language Models ("LLMs") such as Claude's Opus 4.6 are undermining traditional business models, our Central Bank Model Context Protocol server complements these latest LLMs. We now provide alpha generators a massive market edge: the ability to identify shifts in tone, detect policy divergence across regions and act on forward guidance signals before they are widely recognised and priced in by other market participants. Initial feedback from our clients could not have been more positive. We are now excited to both deploy and extend our customer reach with this game-changing offering."

 

For further information, please visit www.insig.ai or contact:

 

Insig AI plc


Richard Bernstein

richard.bernstein@insig.ai

 

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