FinBridge has developed a Model Context Protocol (MCP) to make Korean and U.S. stock market data accessible to AI agents. The system addresses challenges such as strict API rate limits from exchanges like KOSPI and KOSDAQ by implementing buffering strategies like request coalescing and caching. It also normalizes data across different exchanges, converting currencies, standardizing timestamps, and unifying field names into a single SQLite database for agent consumption. FinBridge's MCP server manages authentication and rate limits, exposing tools with discoverable JSON schemas to agents, which can then compose these tools for complex workflows. AI
IMPACT Enables AI agents to reliably access real-time financial data, potentially accelerating automated trading and financial analysis.
RANK_REASON This item describes a product/service that integrates AI agents with external data sources, rather than a core AI release or research.
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