Unla
🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications.
by AmoyLab · AmoyLab/Unla
Install
See GitHub repository for installation instructions.
How to use Unla with Claude
Unla is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to cloud & infra capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Unla will appear in the available tools list
About Unla
Unla is an open-source MCP server in the Cloud & Infra category, built in TypeScript. It connects Claude and other MCP-compatible clients to cloud & infra systems directly. Source available on GitHub.
Use cases for Cloud & Infra MCP servers
- →Query cloud resource state and metrics in real time
- →Automate infrastructure changes with AI-assisted validation
- →Debug deployment failures by pulling logs and config diffs
- →Monitor costs and trigger alerts on anomalies
Where Unla fits in an MCP workflow
Teams use Unla to give Claude a direct bridge into cloud & infra workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Unla can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to cloud & infra systems.
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