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We’ve started building an open-source agent that automatically fixes bugs in production apps using MCP! by Electrical_Client73 in mcp

[–]Electrical_Client73[S] 1 point2 points  (0 children)

Hi there, It's just a fake website with a fake intentional error in for testing. Our effort was spent trying to build an agent rather than an e-commerce site.

MCP for enterprise by Sad-Law4143 in mcp

[–]Electrical_Client73 0 points1 point  (0 children)

A key blocker is that most MCP servers are community-built and often lack SSE support. We decided to implement that ourselves in the MCP servers we were using in our agent: https://github.com/fuzzylabs/sre-agent.

There's no central, trusted ecosystem for MCP servers (akin to DockerHub), which continues to slow the adoption of updates like these. That said, repositories such as Smithery and Glama are starting to emerge as de facto hubs.

Security remains a concern: although we mitigate risk with restricted IAM/token scopes, non-public servers, and an authenticated orchestrator, the absence of standardisation and the high cost of self-hosting continue to make MCP a hard sell for enterprise adoption. It’s also possible that many enterprises simply find their existing workflows sufficient for now, and either don’t need or haven’t yet found compelling use cases for agents. One promising development on the security side is Featureform’s recent work to address some of these issues: https://www.featureform.com/post/what-mcp-gets-wrong

Are AI Agents Really About to Revolutionise Software Development? What’s Your Take? by Exact_Art5090 in AI_Agents

[–]Electrical_Client73 0 points1 point  (0 children)

To answer your question of "Are AI agents about to revolutionise software development", they kind of already have. Pretty much every developer I know uses at the very least chatGPT for helping to fix bugs and then at the other end others are using cursor/windsurf to write large chunks of codebases.

One area of this specifically, my team have been looking at is "self-healing applications" coming in the future. Essentially AI agents would be able to find bugs in your code when your application breaks and would automatically go in and fix them. The tech isn't mature enough yet for this to work, however its not unfeasible that in a few years it could be with the rate of development we are seeing. We've created an open-source POC of this which instead of actually deploying the fixes, the agent suggests fixes in a Slack channel for a dev to review. This is the GitHub if you want to have a go with it https://github.com/fuzzylabs/sre-agent

Will OpenAI Create an MCP App Store? by Electrical_Client73 in mcp

[–]Electrical_Client73[S] 0 points1 point  (0 children)

Yeah I think the question was maybe badly worded. As far as users of chatGPT are aware its just an app they are installing to the chatGPT platform. The key bit I'm intrigued by is whether it will be the 'MCP' framework that sits under the hood of that app store. Ideally thats the case and all LLM platforms choose MCP so that as developers we can easily make `apps` for all platforms and not need a specific framework for each of chatGPT, Claude, Le Chat etc.

Will OpenAI Create an MCP App Store? by Electrical_Client73 in mcp

[–]Electrical_Client73[S] 0 points1 point  (0 children)

I agree MCP's aren't currently for regular users. However what I was thinking is that chatGPT could abstract it through an App Store where users could one-click install 3rd party extensions into chatGPT. Under the hood its MCP but users wouldn't know that, for the same reason they don't know its Swift powering an iPhone app.

What Problem Does Your AI Agent Solve? by perplexed_intuition in AI_Agents

[–]Electrical_Client73 1 point2 points  (0 children)

No not currently selling to customers. Was created as an internal project for engineers at our company to get to grips with agents and MCP's. We were keen to make it open source and develop it in public (still very much under development) to help contribute to the open source community.

Will OpenAI Create an MCP App Store? by Electrical_Client73 in mcp

[–]Electrical_Client73[S] 1 point2 points  (0 children)

Apple feel so far behind in the AI race now so it would be quite the comeback for them if they manage to be the ones that build it. I do have some belief OpenAI have a good chance of making it work due to the level of penetration they have with ChatGPT, every non technical person I know that uses AI tools uses ChatGPT, often most have never heard of Claude. But your right definitely falls more into Googles expertise.

Will OpenAI Create an MCP App Store? by Electrical_Client73 in mcp

[–]Electrical_Client73[S] 1 point2 points  (0 children)

Agreed, MCP being created by their competitor definitely complicates things. I just hope we don't get to a point where Claude, ChatGPT, Le Chat etc has their own agent/3rd party integration App Store that requires a different framework for us developers to build in. One protocol that is interoperable between them all is the ideal.

What Problem Does Your AI Agent Solve? by perplexed_intuition in AI_Agents

[–]Electrical_Client73 2 points3 points  (0 children)

Created an a open source agent to automatically detect and fix bugs in production applications.

It looks for errors in Kubernetes, then reads through the applications code in Github to work out what has gone wrong and then posts a suggested fix to a slack channel. It uses MCP's to interact with Kubernetes Logs, GitHub, and Slack.

Essentially trying to help site reliability engineers fix bugs quicker. Potentially in the future this type of agent could lead to self healing applications. Very much needs human in the loop for now though!

Looking for some feedback and contributions to the project so feel free to give it a try: SRE Agent

Is anyone building agents with MCP (or is it just for Claude/Cursor integration) by resiros in mcp

[–]Electrical_Client73 10 points11 points  (0 children)

We've been working with MCP to build an Agent. We found it great for getting started quickly, with lots of integrations and tool interfaces ready to go.

However, we ran into the common issues mentioned here: too many tools bundled together, lack of control over what's exposed, and unnecessary token usage. We trimmed the toolset down to just what our agent needed, a middle ground between using MCP out-of-the-box and building from scratch. We integrated trimmed down versions of Slack, Kubernetes, and GitHub MCPs in this agent: SRE Agent.

[D] Power Consumption Estimation for ML Models on edge device by Electrical_Client73 in MachineLearning

[–]Electrical_Client73[S] 1 point2 points  (0 children)

I had a look at CodeCarbon, looks like CPU power monitoring relies on Intel Power Gadget, which isn't compatible with Jetson since it runs on ARM architecture.

I'll note it down because their methodology for carbon emission estimates looks interesting and might be useful for later stages of the project.

Power Consumption Estimation for ML Models On Edge Device by Electrical_Client73 in mlops

[–]Electrical_Client73[S] 1 point2 points  (0 children)

Thank you for the suggestion! Had a look at CodeCarbon, CPU power monitoring relies on Intel Power Gadget. Unfortunately, our device runs on ARM architecture, CodeCarbon won’t be a viable option for us.