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Omnara is now available over MCP transcript
Omnara · @OmnaraAI
Published September 18, 20262:0913 views
Transcript analysisComputed from the caption text
Words
369
Runtime
2:09
Speaking pace
172wpm
Reading time
2min
172 words per minute, between the 160 25th percentile and the 181 median of 349 measured videos. That distribution comes from the 349-video hook study.
Opening (first 30 seconds)
Guys, I have something super cool to share. Omnara is now completely available through MCP. So, I'm going to go ahead and show you just how quick it is to set up. Here is my terminal. I'm going to add the Omnara MCP to Codex. I'm going to hit approve. And that's it. Voilà, I have the MCP connected. So, if I launch Codex, I am going to tell it to create an agent profile for managing Omnara ticket. After creating the profile, launch the agent
86 words, the words spoken in the first 30 seconds at 172 words per minute.
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Sentence shape
| Measure | This transcript |
|---|---|
| Sentences | 30 |
| Average words per sentence | 12.3 |
| Longest sentence | 31 words |
| Questions asked | 2 |
| Sentences containing a number | 1 |
Most used terms
- mcp9
- agent8
- omnara5
- linear4
- codex3
- cool3
- users3
- add2
- ask2
- claude2
- connected2
- found2
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What this transcript is
Every word below is the caption track YouTube publishes for this video, pulled from the video itself and reproduced unchanged. It is not Prepublish's writing, not a summary, and not a re-transcription: it is the video's own published captions. English captions, generated automatically by YouTube, in the video’s original language. Source: the video on YouTube. A channel that would rather this page did not exist can ask for its removal through the contact page, and it is removed.
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Transcript
Guys, I have something super cool to share. Omnara is now completely available through MCP. So, I'm going to go ahead and show you just how quick it is to set up. Here is my terminal. I'm going to add the Omnara MCP to Codex. I'm going to hit approve. And that's it. Voilà, I have the MCP connected. So, if I launch Codex, I am going to tell it to create an agent profile for managing Omnara ticket. After creating the profile, launch the agent from it and let's have it Let's see how many tickets it have we have open.
Cool. So, it found the Linear MCP, created the agent called the Omnara Linear Ticket Manager, connected it to Linear, and it found 42 open tickets. Now, the same is true for any MCP client. So, if I wanted to use Claude, it's as simple as adding the MCP to Claude. So, that's cool, but you're probably wondering, why should I care? Why does this matter? And it's not the fact that Omnara has an MCP server. There's tons of MCP servers.
It's what we just built with it. The agent that we made together, it isn't a script on my laptop. It's an agent loop that's running in the cloud. So, sessions, persistence, conversation history, MCP connections, all of that infrastructure is handled for you. And now, this is a production-ready agent that you, your team, your users, they can all reach from anywhere. And just to give you an idea of what that means that you can drop this this Linear agent into Slack, and you can ask it what it's assigned to you.
You can build a custom dashboard around it so that your team can log into the company portal and see what tasks they have. You could put it on a public page, so that way your users can ask and see where your product is heading. So, this is one prompt from Codex. These are just ideas, and the point is that we were able to stand up this production-grade agent that's ready for you, your teams, your users, anyone to use.
So, add it today. The link's in the description.
The words are the caption track's own and nothing is reworded or re-transcribed. Paragraph breaks are placed between sentences so the text reads as prose.
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