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Enables policy-style auditing of content through the audit_vibe MCP tool to enforce configurable guardrails. Supports both local stdio and serverless Streamable
Enables policy-style auditing of content through the audit_vibe MCP tool to enforce configurable guardrails. Supports both local stdio and serverless Streamable HTTP deployment via Vercel for flexible integration with MCP clients.

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I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the powerful, astonishing and often surreal world of Agentic AI.
I'm here to help you be most successful! Please do reach out if I can help, either in the platform or by emailing me direct ([email protected]). It's always great to connect with people on LinkedIn to build up the community - you'll find me here:
https://www.linkedin.com/in/eddonner/
And this is new to me, but I'm also trying out X/Twitter at @edwarddonner - if you're on X, please show me how it's done 😂
Perhaps famous last words: but I really, truly hope that I've put together an environment that will be not too horrific to set up!
Any problems, please do contact me.
Windows PC users: you will need to have checked the "gotcha #4" at the top of the SETUP-PC instructions -- installing Microsoft Build Tools.
If you don't do this, then CrewAI will fail with an obscure error involving Chroma..
Then, you will need to run this command in a Cursor Terminal in the project root directory in order to run the Crew commands:uv tool install crewai==0.130.0 --python 3.12
And in case you've used Crew before, it might be worth doing this to make sure you have the latest:uv tool upgrade crewai==0.130.0 --python 3.12
This command pins Crew to the same version that I use on the course. If you have any problems with Crew, you could try using the latest version instead, by running this command:uv tool upgrade crewai --python 3.12
At any point, you can see which version of Crew you have installed with this:uv tool list
Sidenote: a "tool" with uv is a utility that is installed globally by uv. After installing this tool, you can use "crewai" as a command, and it runs the code associated with this tool.
Then please keep in mind for Crew:
crewai run to see it in action. Or if you prefer to be more hands-on, then create your own Crew project from scratch to mirror mine; for example, create my_debate to go alongside debate, and write the code alongside me. Either approach works! crewai create crew. If that happens, please try running this command in the Terminal first: $env:PYTHONUTF8 = "1" .env file for GOOGLE_API_KEY, you will need an identical key for GEMINI_API_KEYThis course does involve making calls to OpenAI and other frontier models, requiring an API key and a small spend, which we set up in the SETUP instructions. If you'd prefer not to spend on API calls, there are cheaper alternatives like DeepSeek and free alternatives like using Ollama!
Details are here.
Be sure to monitor your API costs to ensure you are totally happy with any spend. For OpenAI, the dashboard is here.
Be sure to have fun with the course! You could not have picked a better time to be learning about Agentic AI. I hope you enjoy every single minute! And if you get stuck at any point - contact me.
Add this to claude_desktop_config.json and restart Claude Desktop.
{
"mcpServers": {
"vibeguard-mcp": {
"command": "npx",
"args": []
}
}
}