Alternatives
Products that do what An MCP server for Devops automation does
I’ve been building Canine for about 2 years now, and have slowly grown it to about ~1000 developers using it for deploying all sorts of apps / projects / etc. Amazingly, the whole thing is still able to run on a single 48GB Hetzner VPS. Think of it basically like Coolify, for Kubernetes. I previously posted about it here: https://news.ycombinator.com/item?id=44292103 Recently, we added MCP capabilities to canine, and I was shocked how well it worked. It basically is able to create services, cron jobs, databases, get the logs for these and redeploy. See it here:…
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- 2AM
I built a simple multi user, multi board, Task/Kanban MCP server. I have been looking for something like this to manage development agents, but I wasn't seeing anything that felt like what I wanted. So I set down and decided to vibe code an alternative. While it was an experiment at first I have been using it daily for my personal development projects and I really think there are others who might be looking for exactly this. It's 100% a WIP, but it is also very usable. I have a demo instance running at https://mootasks.dev. If you find this interesting I'd appreciate a star.…
Apr 2026 · github.com
- 3GC
Hello HN, we're Andrew and Stephen from Keyboard (https://www.keyboard.dev/). After building AI tools for the past year, we recently made a YouTube video on building MCP servers and realized MCP is a total game-changer. It essentially lets AI do anything by connecting to your apps. But the deeper we dove, the clearer it became that security and privacy were complete afterthoughts. Coming from backgrounds at Okta and Stripe, this made us pretty uncomfortable. We kept seeing the same pattern: every app needs its own MCP server, each storing sensitive tokens, with minimal…
2025 · github.com
- 4MS
Hey, I'm Nick from Nutrient, I want to share our newly released MCP Server that enables document workflows using natural language — things like redacting, merging, signing, converting formats, or extracting data. While many MCP servers have traditionally been developer-focused, we recognized that the technology could be highly effective in promoting the adoption of tools that are often hidden from end-user interfaces. We’re really interested to see if this side of the protocol could continue to mature. One thing we struggled with was the inability to receive documents from the client (no…
2025 · github.com
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- 6MM
Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
- 7BA
Started this because configuring Fabric8 for EKS was driving me crazy. Building a client that auto-detects your environment (IAM roles, profiles, local configs) so you don't have to wire it all up manually. Still pretty early and building for EKS right now. Long way to go, but putting it out there early to see if others have hit the same problems or want to help shape where this goes.
Oct 2025 · github.com
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2025 · github.com
- 9HO
Hello HN, I’m excited to share something we’ve been working on: Cloud Troubleshooting Labs. This tool provides on-demand environments for engineers to practice hands-on troubleshooting with AWS, GCP, Azure, and Kubernetes. What it does: We use Pulumi to spin up these environments. Each scenario includes a diagram and an explanation of the available IT infrastructure. Engineers are tasked with fixing configuration issues to make the application work. Depending on the test type, the environment could range from a simple terminal to a full cloud environment or a web-based VSCode. Many of our…
2024 · brokee.io
- 10WR
Hi HN, I previously wore SWE/SRE hats on GCP. Later, I was on the other side, managing thousands of machines. The friction points of onboarding and operating cloud systems are personal problems to me. I’ve found it hard to keep track of all the random cloud resources floating around, especially as my team’s assets proliferated. Occasionally, there is a resource affecting an outage but no one remembers where it is. I am constantly frustrated by existing tooling. APIs can work, after you’ve navigated the byzantine documentation, but I often find myself doing ad-hoc tasks which are best…
2022 · listvms.com
- 11CS
We've been building with AI tools and noticed there wasn't a good way to manage MCP servers across a team or see what's actually flowing to LLM providers. Who's running what? Which tools are approved? What data is going where or whats shared on AI websites? So we built CyberCage (). What it does: MCP Management — Auto or manual discovery of MCP servers, with approval workflows. Manage allowed MCP servers org-wide (down to individual tools). Secure MCP catalog (integrates with GitHub's MCP Catalog). Operations — Manage allowed AI applications org-wide. Full audit logs (Splunk integration…
Dec 2025 · cybercage.io
- 12IB
I've been experimenting with ROS (Robot Operating System) and the Model Context Protocol (MCP), and noticed a gap: while there were some MCP servers for ROS, most were limited. They either only supported topic communication or had hard-coded topic names, which severely limited their reusability. To address this, I built a general-purpose MCP server for ROS that allows interaction with ROS topics, services, and actions -making it more flexible and extensible than previous approaches. A key design decision was enabling communication between the MCP server and a local ROS machine by simply…
2025 · github.com
- 13MA
I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files. So I built MCPfinder. It aggregates servers from the official MCP registry, Glama, and Smithery (around 25,000 combined entries) into a deduplicated, ranked catalog. But the real twist is the DX: MCPfinder is itself an MCP server :D…
Apr 2026 · mcpfinder.dev
- 14MC
Hello HN! Earlier this year, we shared mcp-agent (https://github.com/lastmile-ai/mcp-agent) [1][2], a lightweight framework for building agents with MCP. Since then we have tried to push the protocol to the limits, including hosting agents as long-running tools on MCP [3], and seen other creative approaches surface (mcp-ui, chatgpt apps sdk). Today, we are launching mcp-c – a cloud platform designed for hosting any kind of MCP server, including agents, ChatGPT apps, etc. We are in open beta and free to use, and would love your feedback. Here are some key choices we made:…
Oct 2025 · docs.mcp-agent.com
- 15OS
I built a zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools, open to collabs and contributions!
2025 · github.com
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Hi HN — I'm the creator of FastMCP and wanted to share a new project we've open-sourced called Colin. I obviously love MCP, but I also use skills extremely heavily in my day-to-day work. Being exposed to both has made me very aware of a tension: - Anything with dynamic information, I ship over MCP. This takes work to set up and requires conversational boilerplate to refresh in every conversation. - Anything behavioral, I put in skills. They're lightweight, used automatically, and feel great. But I would never put dynamic information in a skill because keeping it up to date is a pain. And yet…
Jan 2026 · github.com
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The latest CLI releases from google and anthropic are sweet, we wanted build one that can run any model. mcp-use-cli lets you `/model` hop between providers instantly. npm i -g @mcp-use/cli && you're done What's cool: - BYOK (your keys, encrypted locally) - Slash commands for everything - MCP protocol support for custom tools - Works with OpenAI, Anthropic, Google, Mistral, Groq, local Ollama... The whole thing's TypeScript and open source. Built this on top of our Python + TS mcp-use libs, so it speaks MCP out of the box. You can hook up filesystem tools, DB servers, whatever you…
2025 · github.com
- 18TU
Over the past couple weeks, l've been really immersed in learning about MCP, a new protocol for equipping any LLM with a set of tools that can run on your own machine or a remote server you control and give all kinds of superpowers to Al agents to do things like search, etc. As part of that research, l've already built one very fleshed-out and useful MCP server that l've shared here (I've added much more to it recently though!), the LLM Gateway MCP Server, which lets you use a big model to delegate to a cheaper model (and many more things in addition to that, like running automated…
2025 · github.com
- 19BT
It's free servers monitoring and centralized cloud management app. We're hoping to lunch anytime soon. What do you think? Thanks.
2013 · cloudiff.com
- 20MI
2025 · github.com
- 21KT
Hi everyone, it’s Alex, Simon, Felipe and the team from Unikraft.io We have built kraft.cloud, a millisecond cloud platform, where apps and services cold start, scale to zero and autoscale in milliseconds, ensuring you never pay for idle, can efficiently cope with traffic peaks, and don’t have to deal with complex cold start issues. As of today we are now in open early access! The platform (and we) come from research in the area of lightweight virtualization — trying to ask the question of how efficient cloud platforms could (or should) be while still retaining strong, hardware-level…
2024 · kraft.cloud
- 22IB
Hi! Deebo is an agentic debugging system wrapped in an MCP server, so it acts as a copilot for your coding agent. Think of your main coding agent as a single threaded process. Deebo introduces multi threadedness to AI-assisted coding. You can have your agent delegate tricky bugs, context heavy tasks, validate theories, run simulations, etc. The cool thing is the agents inside the deebo mcp server USE mcp themselves! They use git and file system MCP tools in order to actually read and edit code. They also do their work in separate git branches which provides natural process isolation. Deebo…
2025
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Hi HN! I've never posted anything on here before, but this project was too fun to pass up. I've been learning a lot about agents lately, and wanted to see if I could replicate some of the results of Windsurf and Cursor. Generally I love these tools, but when you're stuck behind an "enterprise" firewall, they don't work as well. This sad state of affairs motivated me to understand SWE agents more. Does it work? Yes. Is it as good as Cursor and Windsurf? Not quite, but it's pretty darn close, depending on the model you use. I'm lacking a few features like semantic indexing, MCP support, but…
2025 · github.com
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched a new free tool to help engineers understand their AWS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up end up becoming cloud accountants or end up forking over a big % of their AWS bill for a tool to understand costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how this new tool works: It's fully self-serve and…
2022
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