openaiai-agentseducationfine-tuning
Educational materials for building OpenAI agents, with an ebook and example branches for chat, stock prices, and fine-tuning.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for aicastle-school-openai-api-agent-project, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Overview
Use cases
Read the OpenAI Agent School ebook
Review the Render Chat example
Study the stock-price example branch
Examine the fine-tuning materials
Key features
OpenAI agent development course materials
Online ebook reference
Render Chat branch reference
Stock-price branch reference
Fine-tuning branch reference
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Aicastle School Openai API Agent Project.
Extracted Tool Capabilities
OpenAI agent development course materials
Online ebook reference
Render Chat branch reference
Stock-price branch reference
Fine-tuning branch reference
How Aicastle School Openai API Agent Project works
What aicastle-school-openai-api-agent-project MCP server does
aicastle-school-openai-api-agent-project MCP server is a repository of learning materials from AI Castle's OpenAI Agent School. The linked course focuses on building personal AI agents with OpenAI. Its primary entry point is an online ebook, supported by links to example or topic-specific branches in the associated GitHub repository.
The repository does not present a conventional MCP implementation description. Instead, it serves as a pointer to educational content. Developers evaluating the aicastle-school-openai-api-agent-project MCP server should therefore treat it as a course reference unless additional implementation details are available outside the supplied README.
How it works
The README directs readers to the OpenAI Agent School ebook and to three branches associated with different subjects:
render-chatcovers a Render Chat example.smithery-stock-priceis associated with a stock-price example.fine-tuningcovers fine-tuning material.
These links appear to organize the course material by topic, but the supplied documentation does not describe the code in each branch, its request and response formats, or how an agent invokes any functionality. It also does not identify an MCP transport, server entry point, or tool schema. The aicastle-school-openai-api-agent-project MCP server can be used as a starting point for studying the referenced agent-building examples, but its operational behavior cannot be established from this README alone.
Tools and capabilities
Documented capabilities are limited to the learning resources and branch references. The material supports the following uses:
- Reading the OpenAI Agent School ebook.
- Reviewing the Render Chat branch.
- Reviewing the Smithery Stock Price branch.
- Reviewing the Fine Tuning branch.
- Using the repository as course material for OpenAI-based agent development.
No named MCP tools, API operations, environment variables, supported clients, or command-line commands are specified. The stock-price branch reference should not be interpreted as proof that this repository exposes a stock lookup tool through MCP.
Limitations and notes
The supplied README is brief and primarily links to external course pages and branches. It does not include installation instructions, dependency information, configuration examples, licensing information, or a compatibility list for MCP clients. It also does not explain whether the repository itself runs as an MCP server.
The repository title and course description indicate an OpenAI agent-development context, while the available listing description mentions current stock prices and global markets. Because the README only identifies a stock-price branch and does not document a callable stock-data interface, developers should inspect that branch before relying on stock data, market coverage, freshness, or API behavior. The aicastle-school-openai-api-agent-project MCP server therefore fits best when the immediate goal is to study the linked course structure rather than select a documented production integration.
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GitHub stars
11
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Last commit
12mo ago
Most recent push to the default branch.
Directory activity
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