CloudSealed MCP server
by cloudsealedLet your AI spot cloud cost spikes and risky systems, and tell you which ones are both.
AI Library · 4,066 MCP servers
Let your AI spot cloud cost spikes and risky systems, and tell you which ones are both.
Lets your AI pull website feedback and bug reports from Webvizio and turn them into coding tasks.
Lets your AI look at your database in a safe, read-only way, with sensitive fields hidden.
Turn a website your AI just wrote into a real, shareable link, and save it as a versioned project you can review and export.
Ask your AI about your agent runs, costs, and stuck loops recorded by the local Agentic Ledger.
Let your AI create live webhook endpoints and read back the messages they receive.
Your AI can check what fixed the same tool failure for other agents before it wastes a retry.
Compare cloud prices across AWS, Azure, GCP and OCI, and estimate what a workload or migration would cost.
Your AI can estimate how long a project will take, what it will cost, and whether a deadline is realistic.
Gives your AI coding helper shorter, tidier answers when it reads files, runs commands, or uses git.
Your AI can log its own runs and score them for quality, safety and cost, all on your machine.
Ask your AI to deploy and manage apps on Lizard: services, logs, secrets, scaling and domains.
Ask your AI about your computer's CPU, memory, disk, network and running programs, and let it close a stuck one.
Let your AI write test cases, run manual test cycles, cut releases and check test health in M00N Report.
Lets your AI check your computer's CPU, memory, disk, network, and running programs for you.
Let your AI plan, check, and prepare Cloudflare apps from ready-made microservices.sh building blocks.
Give your AI a local calculator for exact math, dates, units, stats, and distances.
Lets your AI publish, version, search, audit, and install npm packages for you.
Lets your AI answer questions about your codebase and remember important facts about it.
Lets your AI look at your Kubernetes clusters: pods, logs, events, and resources.
Ask your AI about your Kubernetes cluster in plain words, and it runs the kubectl and helm commands for you.
Lets your AI answer questions about your Kubernetes cluster using Metoro's monitoring data.
Lets your AI look at and manage your OpenStack cloud servers, images, networks and storage for you.
Lets your AI look up and compare open-source AI projects across GitHub, PyPI, npm, Docker Hub and Hugging Face.