Best for
- Teams building on AWS with TypeScript/JavaScript/Python
- Developers who want AI assistants to ground code generation in real infrastructure
- Engineering teams wanting infrastructure anti-pattern gates in CI
A well-designed, read-only, local-first deterministic infrastructure analysis MCP server with 21 tools covering AWS, three databases, Kafka, and IaC drift — ideal for grounding AI coding assistants. Code-level correlation is currently limited to TS/JS/Python.
Infrawise is an MCP server for infrastructure analysis. It statically analyzes your codebase, AWS resources, database schemas, and IaC files (Terraform/CloudFormation/CDK), uses a graph engine and 36 rule-based analyzers to detect anti-patterns like full table scans, missing indexes/GSIs, hot partitions, N+1 queries, and missing DLQs, and exposes that context through 21 MCP tools to editors such as Claude Code, Cursor, and GitHub Copilot. Analysis is fully local, read-only, deterministic (no LLM involved in analysis), and telemetry-free. Supports stdio and HTTP (Streamable HTTP on port 3000) transports.
Requires Node.js 22+. Run npm install -g infrawise or use npx infrawise start --claude (also --cursor, --vscode). The start command generates infrawise.yaml, scans your infrastructure, and writes the editor MCP config. The editor then manages infrawise serve --stdio; for HTTP run infrawise serve and configure url http://localhost:3000/mcp.
{"mcpServers":{"infrawise":{"command":"npx","args":["-y","infrawise","serve","--stdio"]}}}