HomeButler MCP server
by HigangsshLets your AI check your home servers, containers, and ports, and tell you what changed since last time.
AI Library · 4,609 MCP servers
Lets your AI check your home servers, containers, and ports, and tell you what changed since last time.
Lets your AI review security documents and reports, then list risks, compliance gaps, and fixes.
Give your AI a local memory that remembers project facts, corrects old ones, and forgets on request.
Lets your AI look inside a Kubernetes cluster to check pods, nodes, logs and warnings.
Lets your AI check your database tables for strange changes, like sudden row drops or NULL surges.
Ask your AI to scan a domain and get a scored security and privacy report with plain advice.
Your AI can remember project facts and decisions between chats, stored in a file on your own computer.
Lets your AI read your SonarQube code issues and security hotspots so it can help you fix them.
Lets your AI check what its own sessions cost and what would have been cheaper.
Adds a safety gate that checks and blocks risky AI tool calls before they run on your computer.
Give your AI coding helper a lasting memory and a shared to-do list stored on your own computer.
Lets your AI read, plan, review and apply Terraform changes in your project for you.
Lets your AI look inside your Milvus database: list collections, search, add or remove data.
Lets your AI pause risky actions until a named person approves them.
Give your coding AI a local memory of skills it can learn, recall, strengthen, and forget over time.
Lets your AI run command line tools like Git or GitHub CLI by reading their help text.
Lets your AI ask questions about your GreptimeDB data in plain words and get answers back.
Keeps passwords and API keys out of your AI coding agent by hiding them before the AI sees them.
Your AI can save and look up the reasoning behind your team's decisions, not just the code.
Lets your AI set breakpoints, step through code, and inspect variables inside JetBrains IDEs.
Ask your AI for Swarmia reports like pull request cycle time, DORA metrics and investment balance.
Adds a named identity to every AI tool call and keeps a list of which tools are allowed.
Gives your AI a private local memory so it remembers past decisions and can trace failures back to their cause.
Lets your AI look at and manage your Kubernetes cluster, like checking pods, logs and deployments for you.