Learn Agentic AI
Build production-grade agents with OpenAI AgentKit, a no-code platfrom.
What is Learn Agentic AI?
Learn Agentic AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to build production-grade agents with openai agentkit, a no-code platfrom.
Build production-grade agents with OpenAI AgentKit, a no-code platfrom.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Build production-grade agents with OpenAI AgentKit, a no-cod
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx learn-agentic-ai-from-low-code-to-codeConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Learn Agentic AI
The Learn Agentic AI repository by Panaversity is a structured educational course that guides learners from no-code agent building through to full code-based AI agent development using OpenAI's AgentKit platform. It covers five core AgentKit components: Agent Builder (visual workflow canvas), Connector Registry (for linking knowledge sources and MCP servers), ChatKit (embedded chat interfaces), Evals (quality measurement), and Guardrails (safety and PII protection). The curriculum is designed for both technical and non-technical professionals who want to build production-grade multi-step AI agents without needing to start from scratch with code.
Prerequisites
- A laptop with a modern web browser (no local software installation required for no-code modules)
- Access to OpenAI AgentKit features (requires an OpenAI account with AgentKit enabled)
- Sample documents such as FAQs, policy docs, or SOPs for building knowledge-based agents
- An MCP-compatible client such as Claude Desktop if integrating MCP servers via the Connector Registry
- Node.js 18+ for code-based modules in the curriculum
Clone the course repository
Clone the Panaversity learn-agentic-ai repository to access course materials, code examples, and project templates.
git clone https://github.com/panaversity/learn-agentic-ai-from-low-code-to-code.git
cd learn-agentic-ai-from-low-code-to-codeReview course structure and prerequisites
Read the README to understand the 6-week curriculum (2 sessions/week) or the 2-day intensive bootcamp format. Identify which modules apply to your skill level.
Set up your OpenAI AgentKit account
Log in to your OpenAI account and enable AgentKit access. AgentKit is the primary no-code platform used in the early modules of the course.
Install code module dependencies
For the code-based modules, install the required Node.js packages from the project directory.
npm installBuild your first capstone agent
Follow the course exercises to build one of the capstone agents — such as a customer support triage bot or a research brief generator — using the Agent Builder visual canvas.
Connect MCP servers via the Connector Registry
In AgentKit's Connector Registry, add an MCP server endpoint to give your agent access to external tools and knowledge sources.
Learn Agentic AI Examples
Client configuration
Example Claude Desktop config for an MCP server built from this course's code modules.
{
"mcpServers": {
"learn-agentic-ai": {
"command": "npx",
"args": ["learn-agentic-ai-from-low-code-to-code"]
}
}
}Prompts to try
Prompts relevant to exploring agent-building concepts from the course.
- "Walk me through building a customer support triage agent using OpenAI AgentKit."
- "How do I connect an MCP server as a knowledge source in the AgentKit Connector Registry?"
- "Show me how to use AgentKit Guardrails to mask PII in user inputs before sending to the LLM."Troubleshooting Learn Agentic AI
AgentKit features are not available in your OpenAI account
AgentKit access may require a specific OpenAI plan or an invitation. Check your account settings or contact OpenAI support to request access.
npm install fails in code-based modules
Ensure you are using Node.js 18 or higher. Run 'node --version' to check, and use nvm to switch versions if needed.
MCP server connection fails in Connector Registry
Verify the MCP server endpoint URL is reachable from the AgentKit environment. For local servers, you may need to use a tunneling tool such as ngrok to expose the endpoint publicly.
Frequently Asked Questions about Learn Agentic AI
What is Learn Agentic AI?
Learn Agentic AI is a Model Context Protocol (MCP) server that build production-grade agents with openai agentkit, a no-code platfrom. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Learn Agentic AI?
Follow the installation instructions on the Learn Agentic AI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Learn Agentic AI?
Learn Agentic AI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Learn Agentic AI free to use?
Yes, Learn Agentic AI is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Learn Agentic AI Alternatives — Similar Coding Agents Servers
Looking for alternatives to Learn Agentic AI? Here are other popular coding agents servers you can use with Claude, Cursor, and VS Code.
Dify
★ 142.2kProduction-ready platform for agentic workflow development.
Ruflo
★ 54.0k🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integrat
Goose
★ 45.7kan open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Antigravity Awesome Skills
★ 38.3kInstallable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
AgentScope
★ 25.5kBuild and run agents you can see, understand and trust.
Serena
★ 24.5kA coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Learn Agentic AI in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Learn Agentic AI?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.