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Central Bank MCP server in action
Insig AI plc has launched its Central Bank Model Context Protocol (MCP) server, demonstrating its capability with a study analyzing how 55 central banks discuss war, tracking 31,321 mentions of 76 keywords across 4,235 documents from January 2022 to April 2026. The study, produced in hours using the MCP server and Anthropic's Claude, highlights "financial stability" as the most used term with 6,069 mentions, and shows a significant increase in mentions related to price pressure and financial stress in April 2026, driven by geopolitical events. The European Central Bank, Bank of England, and Federal Reserve led in keyword volume, and the company is leveraging this technology to engage with asset managers and hedge funds, aiming to provide rapid, structured analysis of central bank communications. Disclaimer*
About this update from Insig Ai Plc
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. 20 April 2026 Insig AI plc ("Insig AI" or the "Company") Insig AI demonstrates Central Bank MCP server in action: first published study reveals how 55 central banks talk about war Further to its announcement of 13 April 2026, Insig AI plc (AIM: INSG), a leading provider of AI-led analytics and machine-learning solutions, is pleased to provide an update regarding the launch of its Central Bank Model Context Protocol ("MCP") server. Following initial client interest, the Company has published the first in a series of demonstration studies built entirely through the MCP server, titled Conflict Language: How Central Banks Talk About War. The interactive analysis is available to view at: insights.insig.ai/i/central_bank_geopolitical_language_apr15 and evidences, in a single worked example, the speed, depth and scale of insight the MCP server makes possible. A Live Demonstration of the MCP Server The study was produced end-to-end through a natural-language conversation with Anthropic's Claude, using the Insig AI Central Bank MCP server as the data layer. Claude queried the dataset, identified the keywords and phrases most strongly associated with wartime policy communications, grouped them by linguistic category, and rendered the results as an interactive, publishable dashboard - in a single session. Work of this scope would traditionally require a research team several weeks of manual document review, Structured Query Language questioning and dashboard engineering. With the MCP server, the full pipeline - from question to published insight - was completed in a fraction of the time, without intermediaries, bespoke integrations or custom Business Intelligence tooling. Addressing Increasing Demand for Real-Time Policy Insight Demand from institutional investors for rapid, structured analysis of central bank communications has grown sharply as markets navigate overlapping conflicts, divergent policy paths and tariff-driven supply shocks. Tone and terminology - not only headline rate decisions - are now actively priced by macro, fixed income and risk teams. The Conflict Language study is the first of a planned series of demonstration analyses designed to showcase the range of questions...