In this current market, finding a job that suits you is Super Hard!
Recently, I was exploring the OpenAI Agents SDK and building MCP agents and ag...
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Great write-up Arindam!
Thanks for checking out
Keep Building such cool Projects!
Pretty impressive
Thanks, Ben!
This will motivate me to build more projects like this!
Great Demo Video Arindam!
Glad you liked it Shankar!
Three Gbosa! for you, Arindam 🙌🙌🙌
Really solid project, I enjoyed going through it!
Quick heads-up: the GitHub repo link isn’t clickable. Could you please fix that?
Would make it easier for folks to check it out directly. 🔗
Thanks for pointing that out, I've updated that!
Hiii, Awesome post.
How did you make the diagram? Any specific tool
Thanks, Lester!
Yes, I used Draw.io
Sounds great, but All that I know is to make animation arrows.
So how did yo make this kinda of animation in icons?
Is beautiful ❤️
The Animations are gifs I took them from google 😅 ( I spent 2 hours for finding proper gifs)
Ohhmy goodness.
Worthed the time
Next tutorial how to make a beatiful diagram!
Haha, Good Idea! 👀🫡
Good job
Glad you liked it
Love the real-time agent interface using MCP. I’ve been working on something similar under my DataOps Terminal v2.0 architecture, built inside a sovereign AI stack (GhostOS with WhisperNet integration). I focused on enabling agents to discover, access, and interact with live web data as part of an evolving cognition pipeline.
I also integrated BrightData MCP, but layered it with persistent agent memory and a custom observability layer. If you're interested, here's a walkthrough of the current interface: dataops-terminal.netlify.app/terminal ... hit me up if your interested in collabs!
Pretty cool seeing you break it down like this - systems like this are what make me wanna get back to building again.
Thanks Nevo, means a lot!
Be cautious: first, AI finds a job for you; second, it takes your job (they say 😅)
Haha, well said!
That's why i'm trying to use AI to learn and build things faster
Hi Arindam,
It is very innovative and good trial, I tested, but...
I had to add the timeout parameter when creating mcp server, because the default 5 seconds always timed out with downloading my Linkedin profile:
server = MCPServerStdio(
cache_tools_list=False,
client_session_timeout_seconds=30,
params={
"command": "npx",
.......
And one question:
Why needed to create scraping_browser1 and web_unlocker1 zones in BrightData if no need them?
Thanks for the idea and sharing the code!
For scraping, you do need scraping_browser1, and web_unlocker is set by default. If you wish to change that, I've added the option.
For the timeout, I haven't got that issue, but I'll check that out.
Feel Free to make a PR here if the issue persists: Github Repo
Lovely Post! AI is really helpful nowadays if used wisely. You can check how AI is revolutionzing marketing analystics to deep diver in the benefits that AI is providing.
Thanks!
This is a really interesting topic. Thanks for writing it!
Glad you liked it
This is super impressive, the real-time scraping with modular agents makes the workflow feel really flexible. Have you tried plugging in other job boards or sources besides YC yet?
Thanks.
It's pretty flexible, All you need to do it change the job board source URL , rest the process will be same
Noice
great article
Thanks Shivay
Impressive work!
Glad you liked it!
Great blog post. Hope you are aware of the open-source automation platform n8n, it's a powerful and an easy one to automate with the use-cases similar to that you have described.
I have heard a lot about n8n but haven't given it a try!
Will be trying that out soon!
Great article
Thanks Said!
Bro! Crazy... 💯👍🏻
Thanks a lot Ankit!
The effort you put in, is clearly visible. Thanks for this amazing write-up.
Glad you liked it!
In fact you can add this to your CV..
Indeed!
Nice!
Thanks Kumo!
This is just incredible ..
Thanks Parag!
Fantastic! 😍
Thanks Wellington!
Hi there
Your article is great.
Great to hear that!
Great write up. We'd love to feature it in our bytesandvibes.com newsletter!
Awesome. Thanks for Supporting!