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Aicastle School Openai API Agent Project MCP

  • 11 repo stars
  • Updated October 17, 2025
  • aicastle-school/openai-api-agent-project

ai.smithery/aicastle-school-openai-api-agent-project is an MCP server that fetches current stock prices and key market data for global symbols inside agent workflows.

About

ai.smithery/aicastle-school-openai-api-agent-project is a Smithery-hosted MCP server that exposes stock price and key market data fetches for symbols across global markets, aimed at agent workflows that need timely quotes while defining products. Developers exploring fintech SaaS, portfolio assistants, or internal dashboards register it during validate/scope to ground conversations in real numbers—comps, ticker sanity checks, and demo data for prototypes—without building a market data client first. The project traces to aicastle-school’s OpenAI API agent coursework on GitHub, packaged as a remote MCP with Smithery Bearer auth so Claude Code, Cursor, and Codex can call finance tools over streamable HTTP. Treat vendor terms, delayed quotes, and licensing as your compliance problem; this integration is for scoping and prototyping, not audited trading execution. Combine with your own risk disclosures and security review before exposing market moves to paying users.

  • Fetch current stock prices and key data for global market symbols
  • Company-style lookups (e.g. major tickers) from natural agent prompts
  • Smithery streamable HTTP MCP @aicastle-school/openai-api-agent-project (v1.16.0)
  • Educational/reference implementation lineage on GitHub (openai-api-agent-project)
  • Finance-oriented MCP tools rather than generic web scrape skills

Aicastle School Openai API Agent Project MCP by the numbers

  • Data as of Aug 10, 2026 (Skillselion catalog sync)
terminal
claude mcp add --transport http aicastle-school-openai-api-agent-project https://server.smithery.ai/@aicastle-school/openai-api-agent-project/mcp --header "Authorization: Bearer YOUR_TOKEN"

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repo stars11
TransportHTTP
AuthRequired
Last updatedOctober 17, 2025
Repositoryaicastle-school/openai-api-agent-project

What it does

Pull live stock prices and key market fields into agent sessions when you are scoping fintech features, dashboards, or trading-adjacent copilots.

Who is it for?

Best when you're prototyping finance copilots, watchlists, or pricing intelligence and want MCP market calls during scope conversations.

Skip if: Regulated brokerage execution, institutional tick data feeds, or production trading without your own compliance stack and data agreements.

What you get

After MCP setup, prompts can retrieve live-style quote fields for named symbols so specs, demos, and validation notes use real market snapshots.

  • Current price and key field payloads for requested symbols in-agent
  • Ground truth snippets for PRDs, landing copy, and demo scripts
  • Faster fintech MVP scoping without custom market API wiring

By the numbers

  • Server version 1.16.0 in Smithery metadata
  • Repository github.com/aicastle-school/openai-api-agent-project
  • Remote MCP type streamable-http on Smithery
README.md

Recommended MCP Servers

How it compares

Market-data MCP connector, not a portfolio risk methodology skill or SEC filing research suite.

FAQ

Who is ai.smithery/aicastle-school-openai-api-agent-project for?

Developers using AI coding agents to scope or prototype stock and market-data features who want ticker lookups via Smithery MCP.

When should I use ai.smithery/aicastle-school-openai-api-agent-project?

Use it during validate and early build when you need current prices and key fields to shape MVP metrics, demos, or fintech user stories.

How do I add ai.smithery/aicastle-school-openai-api-agent-project to my agent?

Register the Smithery remote for @aicastle-school/openai-api-agent-project with Bearer smithery_api_key in your MCP client configuration.

Financefinancepricing

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