Aicastle School Openai Api Agent Project
Pull live stock prices and key market fields into agent sessions when you are scoping fintech features, dashboards, or trading-adjacent copilots.
Overview
ai.smithery/aicastle-school-openai-api-agent-project is an MCP server for the Validate phase that fetches current stock prices and key market data for global symbols inside agent workflows.
What is this MCP server?
- 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
- Server version 1.16.0 in Smithery metadata
- Repository github.com/aicastle-school/openai-api-agent-project
- Remote MCP type streamable-http on Smithery
Community signal: 11 GitHub stars.
What problem does it solve?
When you are still deciding what to build, manually looking up tickers breaks flow and leaves your agent hallucinating prices.
Who is it for?
Solo builders prototyping finance copilots, watchlists, or pricing intelligence who 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 do I get? / Deliverables
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
Recommended MCP Servers
Journey fit
How it compares
Market-data MCP connector, not a portfolio risk methodology skill or SEC filing research suite.
Common Questions / FAQ
Who is ai.smithery/aicastle-school-openai-api-agent-project for?
Builders 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.