This is a teaching project from AI Castle's OpenAI Agent School course, deployed as an MCP server through Smithery. It fetches stock prices and market data for symbols across global exchanges. The repository includes multiple branches covering different educational modules: a render chat implementation, the stock price fetching functionality, and fine tuning examples. It's primarily a learning resource demonstrating how to build agent tools rather than a production-ready financial data service. If you're working through OpenAI agent tutorials or want to see a straightforward example of wrapping market data APIs into an MCP interface, this shows the pattern. The Korean language course materials are available as an ebook at the project site.
(주)에이아이캐슬에서 만든 OpenAI Agent School (OpenAI를 활용한 나만의 AI 에이전트 만들기) 강의 자료입니다.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent