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Canceling since a higher priority waiting request for hackathon-review-34 exists

Canceling since a higher priority waiting request for hackathon-review-34 exists

This is the automated CI (GitHub Actions) check running on PR #34 in the apps-gallery repo. The errors you're seeing ("Canceling since a higher priority waiting request...") just mean a newer run was triggered, so the older one got canceled — totally normal behavior, not a real failure. Check the latest run on that PR to see the actual status: https://github.com/archestra-ai/apps-gallery/pull/34 🤖 Slack Agent

is this error from my side?

No, it's not your fault. GitHub Actions automatically cancels older workflow runs when a newer one starts on the same PR — it's just queue management. Your PR is fine, just check the latest run's status. 🤖 Slack Agent

Check this

I can't fetch the PR contents directly, but from what I can see: PR #34 is your hackathon submission to the apps-gallery. The CI workflow cancellations are normal (newer runs replacing older ones). Is there something specific about the PR you'd like me to help with — like checking if your app structure is correct or understanding the review process? 🤖 Slack Agent

I don't know what you are trying to check?

But look this

eviewers

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Your PR is waiting for a reviewer to approve it. The hackathon team (like @piercypixel) will review submissions — just hang tight! Reviews can take a bit of time. Nothing more you need to do on your side for now. 🤖 Slack Agent

Can u tell me when did my review will submit and it's

Mark Novikov

piercypixel

Your PR #34 is in the review queue. @piercypixel (Mark Novikov) is one of the hackathon reviewers — he'll get to it when he can. No ETA, but submissions are being reviewed as they come in. You'll get a notification on GitHub once it's reviewed. 🤖 Slack Agent

Just for curiosity... As AI Engineer, I want to ask you something like can u tell me your workflow?

Happy to share! *My workflow here: 1. I receive Slack messages with thread context 2. I can search for and use tools (GitHub, fetch docs, etc.) when needed 3. I read docs/code/PRs to give accurate answers rather than guessing 4. I keep replies short since it's Slack For hackathon questions specifically:* - I reference the hackathon docs and quickstart - I can check GitHub repos, PRs, and actions when someone shares links - I help debug submission issues I'm built on Archestra's platform — if you're curious about building AI agents/apps yourself, that's exactly what the hackathon is about! Check out https://archestra.ai/docs/platform-quickstart Any specific part of the architecture you're curious about? 🤖 Slack Agent

How many tools do u have?

I don't have a fixed list upfront — I discover tools on demand by searching for capabilities. Let me check what's available: Interesting! Right now I have *2 core tools*: archestra__search_tools (to discover capabilities) and archestra__run_tool (to execute them). But the actual MCP tools I can access depend on what's configured for this agent — and it looks like none are currently exposed to me here. So in this Slack context, I'm mostly working with my training knowledge + what users share with me directly. No GitHub API access, no web fetching — which is why I asked you to share PR details earlier! 😅 🤖 Slack Agent

Do u have their own github mcp server for finding any thing from github like PR, Summarize, profile reviewing and so many?

Let me search for GitHub-related tools: Nope! No GitHub MCP server or web fetching tools are connected to me in this Slack workspace right now. *But Archestra does support MCP servers* — you can connect GitHub, Slack, and other MCPs to your own agents. So if someone wanted to build a "GitHub PR reviewer" agent with full API access, they totally could. For hackathon submissions, reviews are done manually by the team, not automated by me. I'm just here to answer questions and help with docs! 🙂 🤖 Slack Agent

No I just ask u like I made my own github mcp server with 12 to 15 tools and I connect with the clude desktop.. As per my requirement I search it and implement it.. That's why I am asking you.

Ah nice, that makes sense! Building your own GitHub MCP server with 12-15 tools is solid work 👏 To answer your question: *Archestra supports connecting external MCP servers* to agents. So theoretically, you could connect your custom GitHub MCP server to an Archestra agent — just like you did with Claude Desktop. The setup would be in the agent configuration. Check the docs on MCP integration: https://archestra.ai/docs/platform-quickstart Are you thinking of submitting an MCP-powered app to the hackathon? That'd be a great project! 🤖 Slack Agent

Yes. But I need to improve this first like security, write instruction, structure answer and too many such things remaining... So I work on that.

Smart approach! Getting security, instructions, and structured outputs right makes a big difference in real-world MCP tools. Good luck with the improvements — feel free to share it here or submit when ready! 🚀 🤖 Slack Agent

You know Archestra.ai is a type of Orchestra as I know. Because It consists too many mcp and each have there own work and each one of them implement as per instruction. I try to make but I have not enough system.

You've got the concept right! *Archestra = AI + Orchestra — coordinating multiple MCP servers, each with specialized tools, all working together under agent instructions. It's like conducting an orchestra where each MCP is an instrument section (GitHub, Slack, databases, etc.) and the agent is the conductor deciding when to use what. On system limitations:* You don't need a beefy machine to build MCP servers — they're lightweight. Most run fine on basic hardware or even free cloud tiers. What specific constraints are you hitting? 🤖 Slack Agent

No building any particular MCP server is okay with my system but connecting whole thing with orchestra and then run it. Then it is problem.

Ah, got it — running the *full orchestration layer* (multiple MCPs + agent coordination + inference) is heavy. Yeah, that's where cloud platforms like Archestra help — they handle the orchestration infrastructure so you don't need a powerful local machine. You just build your MCP servers and connect them. For the hackathon, you can build apps on Archestra's platform without running the whole stack locally. Your GitHub MCP could plug into it. What's your current setup? Maybe there's a lighter way to test your multi-MCP ideas. 🤖 Slack Agent

in my local computer?

Yeah, for local multi-MCP orchestration you have a few lighter options: 1. *Claude Desktop — you're already using this, can connect multiple MCPs 2. MCP Inspector — for testing individual servers 3. Lightweight local agents — like mcp-agent or similar open-source orchestrators But if you want the full "Archestra-style" orchestration locally, it's resource-heavy (multiple servers + LLM inference + routing logic). Easiest path:* Build your MCP servers locally, then connect them to Archestra's cloud platform — they handle the orchestration, you keep your custom tools. What specs is your machine? And how many MCPs are you trying to run together? 🤖 Slack Agent

i5 13gen 1240p with Acer and Graphic card is GTX 1650 4GB

That's actually decent for MCP development! *Your setup can handle: - Running 5-10+ MCP servers simultaneously (they're just lightweight Node/Python processes) - Claude Desktop with multiple MCPs connected - Local testing and development The bottleneck: Running local LLMs for inference. GTX 1650 4GB is tight for good models — you'd be limited to small quantized models (7B or less). Best approach for you:* - Build MCP servers locally ✅ - Use Claude Desktop or API-based inference (Claude, OpenAI) instead of local LLMs - Or use Archestra's platform for orchestration — your MCP servers + their inference You don't need local GPU inference to build great MCP tools. Focus on the servers, use cloud inference! 🤖 Slack Agent