Home>Approach>Data Delivery>MCP ServerISI Data Services MCP ServerPut ISI’s hard-to-source intelligence behind your AI. ISI MCP Server connects your AI tools and agents to licensed ISI data: macroeconomic and financial time series, news and research built on local sources across developed and fast-growing markets. Ground your AI’s analysis in traceable ISI sources. Request more information Explore the use casesBuilt for enterprise AI Integrate ISI’s intelligence into your organisation’s AI environment to power governed, repeatable research and decision workflows. Built for enterprise AI. Bring trusted external intelligence into the environment where your organization’s AI already works. Governed Access Make licensed ISI intelligence available through approved enterprise applications and agents Works with organizational context Combine ISI evidence with internal documents, data, models and specialist tools where the customer’s AI environment supports this. Supports multi-step workflows Move beyond individual questions to research, monitoring and assessment jobs involving retrieval, comparison, calculation and output creation. Reusable across teams Incorporate ISI intelligence into common agents and workflows rather than requiring every user to perform the same research manually. Evidence that can be reviewed Preserve identifiable sources, dates, methodologies and supporting indicators for auditability. What your AI workflows can draw on 40M+ news articles annually 40M+ economic data series 4M+ company documents, produced annually 500K+ research reports, produced annually 200+ economies The problem From fragmented data to faster insight and decision-making. Too much preparation Users spend time locating reports, collecting indicators and combining findings before they can assess the implications. Disconnected evidence Economic trends and company or industry developments are reviewed separately, making their relationships harder to evaluate. Uneven market visibility Unfamiliar countries and industries require additional research, particularly where local information is fragmented. Difficult verification Users need to identify the sources, dates and assumptions behind a recommendation so others can review it. How it works From research tasks to automated workflow.Your AI environment manages the workflow, scheduling and outputs; ISI MCP Server supplies the intelligence. Assign A job, not just a question: a market-entry study, a deal review, a monitoring brief or a forecast check. Retrieve Your agent calls licensed ISI time series, news, research and company documents through MCP Server. Combine With your internal data, documents and tools, ISI evidence and your own context are assessed together. Deliver Into a model, spreadsheet, deck or alert, and repeat as new data arrives. Your experts set the questions and make the decisions.One evidence base, from macro to company level. Local and specialist intelligence in markets where information is fragmented. Industry and company research combined with economic evidence to test assumptions. Identifiable sources and underlying indicators that support scrutiny. Structured time series and metadata your model can calculate with. Source provenance on research documents, so outputs can be traced. News Research Company documents Macroeconomic and financial time series Use cases Built for jobs,not just questions. Run research and monitor workflows inside your AI, using ISI intelligence on its own or alongside your internal data and tools. Reduce repetitive preparation, improve consistency across outputs and give teams more time to interpret the evidence. Who it is for Consulting and research firms Embed ISI in your firm’s own research agents, keeping your methodology and IP. Sell-side institutions Bring ISI into model, monitoring and country-update workflows. Corporates Make ISI available to teams across the organization through your enterprise AI. Central banks and public institutions Combine ISI time series with internal forecasts and assessments. Enterprise AI and data teams Ground knowledge agents and decision-support systems in licensed ISI content. Use cases Market & competitor monitoring Market & industry opportunity assessment Commercial & M&A due diligence Forecast & model review Use case 1 Market & competitor monitoring Know when something material changes Developments that matter are scattered across news, company announcements, research and economic releases. Instead of someone checking every source, a monitoring agent can review them on a schedule and surface only what is material. Example prompt “Check for material developments affecting our Thailand and Vietnam businesses: regulatory changes, competitors, M&A, capacity additions, demand indicators and macroeconomic changes. Compare them with our internal market plan and only alert me when something is genuinely material. Include dates and sources.” Combined: ISI & your data Local news Industry Research Company developments Economic indicators + Internal market plan Strategy documents Example output Why it matters Continuous monitoring without manual checking · Earlier visibility into threats and opportunities · Analyst time spent on what is material · One view across sources Use case 2 Market & industry opportunity assessment Build the market-entry case, exhibits included Market entry needs demand, competition, value-chain and economic evidence, combined with the client’s own data. A firm’s research agent can draw on ISI alongside client materials and the firm’s own methodology, then produce the analysis and exhibits. Example prompt “We manufacture industrial equipment in Brazil and are evaluating Mexico, Colombia and Chile. Using ISI research and data alongside our internal sales data, assess downstream demand, competition and routes to market, then upstream inputs, costs and import dependencies. Rank the opportunities, produce supporting exhibits, cite sources and flag gaps.” Combined: ISI & your data Industry forecasts Customer and competitor intelligence Supplier context Consumption, production, trade and pricing indicators + Client sales data Firm methodology and templates Example output Why it matters Faster opportunity screening · Client data and market evidence in one analysis · Exhibits produced in the same workflow · Better-supported investment decisions Use case 3 Commercial & M&A due diligence Test the business plan against the evidence Transactions depend on assumptions. A deal team’s agent can test management’s plan against ISI data on growth, competitive dynamics, demand and economic conditions, and keep the evidence table current as the deal progresses. Example prompt “Assess India’s packaged food market for commercial due diligence. Test the growth assumptions in management’s business plan against ISI research and data on demand drivers and competitive pressures. Present supporting and contrary evidence, update the evidence table, cite sources and flag gaps.” Combined: ISI & your data Sector forecasts Company and competitive research Indicators of underlying demand Economic conditions + Management business plan Data-room documents Example output Why it matters Faster due-diligence preparation · Plan assumptions tested against independent evidence · Earlier identification of risk · Stronger evidence for investment committees Use case 4 Forecast & model review Flag the assumptions that no longer hold Economists and analysts spend significant time gathering releases and checking them against their forecasts before analysis can begin. An agent can compare new ISI data with the assumptions in your model and flag what has changed. Example prompt “Compare all relevant CEIC releases since our forecast cut-off with the GDP and inflation assumptions in our model. Classify each assumption as consistent, watch or challenged, flag any that look stale, and update the supporting briefing before the next forecast round.” Combined: ISI & your data CEIC economic indicators New economic releases + Forecast model and assumptions Previous forecast briefing Example output Why it matters Faster forecast preparation · Continuous check of model assumptions · More structured review · More focus on the forecast itself +Market & competitor monitoring Know when something material changes Developments that matter are scattered across news, company announcements, research and economic releases. Instead of someone checking every source, a monitoring agent can review them on a schedule and surface only what is material. Example prompt “Check for material developments affecting our Thailand and Vietnam businesses: regulatory changes, competitors, M&A, capacity additions, demand indicators and macroeconomic changes. Compare them with our internal market plan and only alert me when something is genuinely material. Include dates and sources.” Combined: ISI & your data Local news Industry Research Company developments Economic indicators + Internal market plan Strategy documents Example output Why it matters Continuous monitoring without manual checking · Earlier visibility into threats and opportunities · Analyst time spent on what is material · One view across sources +Market & industry opportunity assessment Build the market-entry case, exhibits included Market entry needs demand, competition, value-chain and economic evidence, combined with the client’s own data. A firm’s research agent can draw on ISI alongside client materials and the firm’s own methodology, then produce the analysis and exhibits. Example prompt “We manufacture industrial equipment in Brazil and are evaluating Mexico, Colombia and Chile. Using ISI research and data alongside our internal sales data, assess downstream demand, competition and routes to market, then upstream inputs, costs and import dependencies. Rank the opportunities, produce supporting exhibits, cite sources and flag gaps.” Combined: ISI & your data Industry forecasts Customer and competitor intelligence Supplier context Consumption, production, trade and pricing indicators + Client sales data Firm methodology and templates Example output Why it matters Faster opportunity screening · Client data and market evidence in one analysis · Exhibits produced in the same workflow · Better-supported investment decisions +Commercial & M&A due diligence Test the business plan against the evidence Transactions depend on assumptions. A deal team’s agent can test management’s plan against ISI data on growth, competitive dynamics, demand and economic conditions, and keep the evidence table current as the deal progresses. Example prompt “Assess India’s packaged food market for commercial due diligence. Test the growth assumptions in management’s business plan against ISI research and data on demand drivers and competitive pressures. Present supporting and contrary evidence, update the evidence table, cite sources and flag gaps.” Combined: ISI & your data Sector forecasts Company and competitive research Indicators of underlying demand Economic conditions + Management business plan Data-room documents Example output Why it matters Faster due-diligence preparation · Plan assumptions tested against independent evidence · Earlier identification of risk · Stronger evidence for investment committees +Forecast & model review Flag the assumptions that no longer hold Economists and analysts spend significant time gathering releases and checking them against their forecasts before analysis can begin. An agent can compare new ISI data with the assumptions in your model and flag what has changed. Example prompt “Compare all relevant CEIC releases since our forecast cut-off with the GDP and inflation assumptions in our model. Classify each assumption as consistent, watch or challenged, flag any that look stale, and update the supporting briefing before the next forecast round.” Combined: ISI & your data CEIC economic indicators New economic releases + Forecast model and assumptions Previous forecast briefing Example output Why it matters Faster forecast preparation · Continuous check of model assumptions · More structured review · More focus on the forecast itself Access Intelligence comes first. MCP makes it accessible. ISI meets clients where they work, through web platforms, feeds, APIs and marketplaces. ISI MCP Server extends this strategy into customers’ AI workflows.Take the next step Give your agents the hard-to-source evidence needed, inside the AI environment your teams already use. Bring trusted ISI intelligence into your AI workflows to expand research capacity and strengthen the evidence behind strategic, commercial and investment decisions. Request more information
Use case 1 Market & competitor monitoring Know when something material changes Developments that matter are scattered across news, company announcements, research and economic releases. Instead of someone checking every source, a monitoring agent can review them on a schedule and surface only what is material. Example prompt “Check for material developments affecting our Thailand and Vietnam businesses: regulatory changes, competitors, M&A, capacity additions, demand indicators and macroeconomic changes. Compare them with our internal market plan and only alert me when something is genuinely material. Include dates and sources.” Combined: ISI & your data Local news Industry Research Company developments Economic indicators + Internal market plan Strategy documents Example output Why it matters Continuous monitoring without manual checking · Earlier visibility into threats and opportunities · Analyst time spent on what is material · One view across sources
Use case 2 Market & industry opportunity assessment Build the market-entry case, exhibits included Market entry needs demand, competition, value-chain and economic evidence, combined with the client’s own data. A firm’s research agent can draw on ISI alongside client materials and the firm’s own methodology, then produce the analysis and exhibits. Example prompt “We manufacture industrial equipment in Brazil and are evaluating Mexico, Colombia and Chile. Using ISI research and data alongside our internal sales data, assess downstream demand, competition and routes to market, then upstream inputs, costs and import dependencies. Rank the opportunities, produce supporting exhibits, cite sources and flag gaps.” Combined: ISI & your data Industry forecasts Customer and competitor intelligence Supplier context Consumption, production, trade and pricing indicators + Client sales data Firm methodology and templates Example output Why it matters Faster opportunity screening · Client data and market evidence in one analysis · Exhibits produced in the same workflow · Better-supported investment decisions
Use case 3 Commercial & M&A due diligence Test the business plan against the evidence Transactions depend on assumptions. A deal team’s agent can test management’s plan against ISI data on growth, competitive dynamics, demand and economic conditions, and keep the evidence table current as the deal progresses. Example prompt “Assess India’s packaged food market for commercial due diligence. Test the growth assumptions in management’s business plan against ISI research and data on demand drivers and competitive pressures. Present supporting and contrary evidence, update the evidence table, cite sources and flag gaps.” Combined: ISI & your data Sector forecasts Company and competitive research Indicators of underlying demand Economic conditions + Management business plan Data-room documents Example output Why it matters Faster due-diligence preparation · Plan assumptions tested against independent evidence · Earlier identification of risk · Stronger evidence for investment committees
Use case 4 Forecast & model review Flag the assumptions that no longer hold Economists and analysts spend significant time gathering releases and checking them against their forecasts before analysis can begin. An agent can compare new ISI data with the assumptions in your model and flag what has changed. Example prompt “Compare all relevant CEIC releases since our forecast cut-off with the GDP and inflation assumptions in our model. Classify each assumption as consistent, watch or challenged, flag any that look stale, and update the supporting briefing before the next forecast round.” Combined: ISI & your data CEIC economic indicators New economic releases + Forecast model and assumptions Previous forecast briefing Example output Why it matters Faster forecast preparation · Continuous check of model assumptions · More structured review · More focus on the forecast itself