
Aicastle School Openai API Agent Project11 MCP
- 11 repo stars
- Updated October 17, 2025
- aicastle-school/openai-api-agent-project
ai.smithery/aicastle-school-openai-api-agent-project11 is a MCP server that fetches the latest available stock quotes by ticker across international markets for agent-driven research.
About
ai.smithery/aicastle-school-openai-api-agent-project11 is a Smithery-hosted MCP server that exposes stock quote lookup by ticker across international markets. developers and developers who are sketching trading assistants, portfolio dashboards, or validation workflows can register the remote endpoint in Claude Code, Cursor, or other MCP-capable agents instead of wiring a proprietary quotes API by hand. The server uses streamable HTTP transport and expects a Smithery API key in the Authorization header, which keeps setup limited to credential configuration plus MCP client registration. It is a narrow finance data bridge, not a full brokerage, charting, or historical analytics platform, so scope your product promises accordingly.
- Fetches latest available stock quotes by ticker symbol
- Covers international markets beyond a single exchange
- Streamable HTTP MCP remote on Smithery with Bearer auth
- Pairs naturally with OpenAI-style agent coursework patterns from the upstream repo
- Version 1.16.0 server schema with GitHub source for inspection
Aicastle School Openai API Agent Project11 MCP by the numbers
- Data as of Aug 10, 2026 (Skillselion catalog sync)
claude mcp add --transport http aicastle-school-openai-api-agent-project11 https://server.smithery.ai/@aicastle-school/openai-api-agent-project11/mcp --header "Authorization: Bearer YOUR_TOKEN"Add your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| repo stars | ★ 11 |
|---|---|
| Transport | HTTP |
| Auth | Required |
| Last updated | October 17, 2025 |
| Repository | aicastle-school/openai-api-agent-project ↗ |
What it does
Wire live international stock quotes into Claude or Cursor when you are researching tickers, prototyping trading agents, or validating fintech app ideas.
Who is it for?
Best when you're prototyping finance agents, validating tickers during idea research, or teaching agent + API patterns with live quote tools.
Skip if: Production trading systems that need guaranteed latency, entitlements, historical bars, or compliance-reviewed market data vendors.
What you get
Your agent can resolve ticker symbols to current quote information through one registered Smithery MCP remote during research and prototype conversations.
- Live quote responses for requested tickers inside agent sessions
- Reusable Smithery MCP remote configuration for finance prototypes
By the numbers
- Server version 1.16.0 per published MCP schema
- One streamable-http remote endpoint on server.smithery.ai
- GitHub source: aicastle-school/openai-api-agent-project
README.md
OpenAI Agent School
(주)에이아이캐슬에서 만든 OpenAI Agent School (OpenAI를 활용한 나만의 AI 에이전트 만들기) 강의 자료입니다.
OpenAI Agent School (Ebook) 바로가기
Render Chat (Branch) 바로가기
Smithery Stock Price (Branch) 바로가기
Fine Tuning (Branch) 바로가기
Recommended MCP Servers
How it compares
MCP market-quote integration, not a hosted trading skill or full Bloomberg-style terminal.
FAQ
Who is ai.smithery/aicastle-school-openai-api-agent-project11 for?
Developers and students wiring stock quote lookups into Claude Code, Cursor, or similar agents while researching markets or building lightweight fintech prototypes.
When should I use ai.smithery/aicastle-school-openai-api-agent-project11?
Use it during idea and research work when you need international ticker quotes inside an agent thread rather than opening a separate quotes website or API playground.
How do I add ai.smithery/aicastle-school-openai-api-agent-project11 to my agent?
Register the Smithery streamable HTTP remote URL, set Authorization to Bearer with your smithery_api_key, and enable the server in your MCP client configuration.