Reach for this when you need institutional-grade economic forecasts to feed into financial models or trading systems. It exposes ten forecast tools covering inflation, commodities, interest rates, GDP, equities, real estate, labor markets, retail sales, manufacturing, and currencies. The most heavily used calls are forecast_inflation and forecast_commodities, suggesting it's being tapped for macro trend analysis rather than real-time trading. Response times average 222ms, which is reasonable for analytical workloads but too slow for latency-sensitive applications. The structured data output makes it straightforward to pipe forecasts into dashboards or backtesting frameworks. Best suited for research, risk modeling, or any scenario where you're building views on macro conditions rather than executing on tick data.
explorium-ai/vibeprospecting-mcp
io.github.compuute/lead-enrichment
dev.workers.selbyventurecap.cf-worker/apollo-salesforce-mapper
io.github.br0ski777/company-enrichment
com.mcparmory/apollo
mambalabsdev/mcp-gtm-tech-stack-signal-scraper