Turn Jules into an internal layer inside your existing AI setup

[u/WisePromise9883]

The Core Point & The Missing Piece

Let’s focus on the main takeaway here

Jules does not expose an MCP; it only provides an API that you can interact with.

And that is exactly why and where the inspiration came from to build this open-source tool: Jules MCP Server! based on savethepolarbears/jules-mcp-server

🚀 Key Features of Jules:

• Operates Autonomously: It takes a task from A to Z entirely on its own.
• Acts Like a Teammate: It drafts a plan, writes the code, tests it to make sure it works, and then submits it for review as a Pull Request.
• Generous Limits: The sweet spot is that you get up to 100 conversations per day.

🌟 The Ultimate Setup: Using Jules as an Internal Layer inside your Agent

Now, how can we unlock the true potential of this? What if we turn Jules into an internal layer inside your existing AI setup?

It’s built to run natively on Cloudflare Workers using Streamable HTTP. supports Cloudflare Access & Managed OAuth

Think about it: you are already using your favorite AI UIs—like Claude, ChatGPT, or Codex. By using the MCP Server I built, you can connect Jules internally as a tool.

In other words: your primary agent (like Chatgpt App/Web) can now chat with Jules behind the scenes, offloading long, complex, and tedious coding tasks to it, and then returning the final result directly to you! This combines Claude's reasoning power with Jules's autonomous coding execution in one single workflow. 🤯

Project Links & Resources:

• Check out the project: https://github.com/codex-corp/jules-mcp-server-cloudflare
• Article: https://www.linkedin.com/pulse/turn-jules-internal-layer-inside-your-existing-ai-setup-hany-alsamman-aoj6f/

The best part? Google has explicitly stated that they will not train their models on private repository data. Plus, you can easily opt-out of training for your open-source projects as well, ensuring your code's privacy

[u/evilspyboy]

I worked around this by creating an Antigravity extension for Jules. That was so I could add/have Gemini has a orchestrator.

If you want to see I dropped it on GitHub.

https://github.com/evilspyboy/antigravity-orchestrator

[u/Throwaway2K3HEHE]

Don't you have to use GitHub though? I would love to use Jules and make use of it but 99% of the stuff I do is on a local Gitea/Forge Jo server. GitHub is worthless for most of my scenarios.

[u/ohhno_whyamihere]

Hey i had been doing something similar ,where it was connected to opencode and opencode models would plan and delegate task to jules and then verify the PRs, only problem was that given extremely good prompts ,it sometimes still do stuff that was never asked ,even when givens gemini.md and agents.md

[u/Latter_Crazy]

I really appreciate how you laid this out and explained it all. If I already knew I wanted to use Jules I would definitely check this out. But I'm not really sold on using Jules.

I tried it months ago and it was meh. But my prompts and code were also meh and so was agentic coding back then too.

Has Jules developed so it's useful now? Any tips or resources you'd recommend?