Qiniu Cloud MCP server
by qiniuLet your AI list, upload, read and manage files in Qiniu Cloud storage, plus handle live streaming.
AI Library · 4,066 MCP servers
Let your AI list, upload, read and manage files in Qiniu Cloud storage, plus handle live streaming.
Lets your AI check Apache Airflow DAGs, runs, and task logs, and trigger or clear runs when you allow it.
Lets your AI check and manage your Apache Airflow workflows for you, right from the chat.
Let your AI check cloud costs, architecture risks, and security findings for your Azure setups.
Lets your AI build, test and deploy Cognigy.AI agents for you, without clicking through the Cognigy dashboard.
Lets your AI start small, throwaway database servers like Postgres, MariaDB or Redis when it needs one.
Lets your AI see and forward Kubernetes services to your laptop so your local app can reach them by name.
Let your AI look up and manage your Spaceship domains, DNS records, contacts and marketplace listings for you.
Compare a Figma design or screenshot with your live UI and get a plain list of what looks different.
Helps your AI catch vague coding prompts before they waste time and money.
Let your AI search, preview, and create .NET projects from templates just by describing what you want.
Let your AI check, pull, switch and train models on your own local model machine.
Lets your AI review code for bugs, security holes and SQL injections, and write tests or reports.
Lets your AI look up Go packages and their documentation on pkg.go.dev for you.
Let your AI look after your Kubernetes clusters: check pods, read logs, and run common tasks for you.
Lets your AI check PostgreSQL migrations for dangerous locks before it runs them, without a database.
Let your AI test, score and inspect your n8n workflows, and look up nodes, without touching credentials.
Lets your AI look at and manage your Portainer environments, containers and deployments for you.
Lets your AI read your Storybook design system and pull out components, HTML, styles and theme tokens.
Ask your AI about your app's traces in Jaeger: slow requests, errors, and which services call which.
Lets your AI read and understand Java code accurately, so it can find real usages, refactor safely, and spot problems.
Lets your AI build, check and fix React and TypeScript code for you, from components to tests.
Lets your AI open and drive real tmux terminal sessions on your machine or a remote server.
Lets your AI tidy up your project's AI rules, remember decisions, and show you what AI assets you have.