Cyclops MCP server
by cyclops-uiLet your AI create and update your Kubernetes apps through Cyclops, using your templates.
AI Library · 4,066 MCP servers
Let your AI create and update your Kubernetes apps through Cyclops, using your templates.
Let your AI run ping, traceroute, DNS, MTR and HTTP tests from locations around the world.
Lets your AI look up TwitterAPI.io documentation offline, so you get answers about endpoints, pricing and auth without leaving your chat.
Lets your AI build your iPhone app, run it in the Simulator, take screenshots, and tap or type on the screen.
Check your website deployments and see their status right inside your AI chat.
Lets your AI start Jenkins jobs, check build status, read logs, and fetch build files for you.
Lets your AI search and read code on GitHub, npm, and your own computer to answer questions with real evidence.
Lets your AI check if your project idea already exists on GitHub, npm, PyPI and more before it starts writing code.
Lets your AI set up and check job monitors that alert you when a scheduled task stops checking in.
Let your AI check your CDN traffic, purge cache and manage domains for you.
Let your AI assistant read CometChat's official setup guides and write chat, call and moderation code for your app.
Lets your AI use your JetBrains IDE's code smarts to find, rename, and check code safely.
Lets your AI look at your OpenShift cluster: projects, pods, logs, and safe changes when you allow them.
Check if people actually want a product idea by looking at GitHub, Hacker News and download numbers.
Lets your AI look inside a Kubernetes cluster to check pods, nodes, logs and warnings.
Lets your AI read your SonarQube code issues and security hotspots so it can help you fix them.
Lets your AI read, plan, review and apply Terraform changes in your project for you.
Lets your AI run command line tools like Git or GitHub CLI by reading their help text.
Lets your AI set breakpoints, step through code, and inspect variables inside JetBrains IDEs.
Lets your AI look at and manage your Kubernetes cluster, like checking pods, logs and deployments for you.
Lets your AI look at your Kubernetes or OpenShift cluster, check pods and logs, and make changes when you ask.
Ask your AI to run Terraform plans, apply changes and check your cloud infrastructure in plain words.
Lets your AI publish a small website to decentralized storage and hand you back a live link.
Lets your AI read Edge Delta logs, anomalies and pipelines, and safely test or deploy pipeline changes for you.