Infrawise
Static infrastructure analysis via MCP: databases, AWS services, IaC, and code patterns.
What is Infrawise?
Infrawise is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to static infrastructure analysis via mcp: databases, aws services, iac, and code patterns.
Static infrastructure analysis via MCP: databases, AWS services, IaC, and code patterns.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Static infrastructure analysis via MCP: databases, AWS servi
Use Cases
Maintainer
Works with
Installation
NPM
npx -y infrawiseManual Installation
npx -y infrawiseConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Infrawise
What is Infrawise?
Infrawise is a Model Context Protocol (MCP) server that static infrastructure analysis via mcp: databases, aws services, iac, and code patterns. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Infrawise?
Install via npm with the command: npx -y infrawise. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Infrawise?
Infrawise works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Infrawise free to use?
Yes, Infrawise is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Infrawise in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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