MCP Infrastructure Layer
Your AI coding assistant
finally knows your infra.
Infrawise gives Claude Code and Cursor a real-time, deterministic map of your AWS services, databases, and IaC — so they stop writing code that assumes wrong indexes, missing queues, and stale schemas.
The Problem
AI writes wrong code.
Infrawise is the fix.
"New software developers don't write wrong code. Claude Code writes wrong code and they ship it."
# AI writes from assumptions
response = table.query(
FilterExpression=Attr('userId').eq(user_id)
)
# ❌ Full table scan — GSI doesn't exist # AI knows your actual schema
response = table.query(
IndexName='userId-createdAt-index',
KeyConditionExpression=Key('userId').eq(user_id)
)
# ✅ Uses real GSI from suggest_gsi Quick Start
Up and running in 60 seconds.
$ npm install -g infrawise
$ infrawise start --claude
✔ Scanning AWS services…
✔ Scanning databases…
✔ Scanning IaC files…
✔ Running 27 analyzers…
✔ 15 MCP tools ready
✔ .mcp.json written
✔ Open Claude Code in this directory
12 findings — 3 high, 6 medium, 3 low How It Works
Five steps. One command.
Reads AWS services, databases, and IaC files statically — no agents, no polling.
Constructs a typed graph of every node and edge: tables, queues, lambdas, topics, buckets.
Rule-based analyzers flag missing indexes, absent DLQs, default Lambda memory, and more.
Exposes the graph and findings as 15 MCP tools your editor can query during generation.
Right GSI name, right event shape, right DLQ config — grounded in your actual infrastructure.
Works With Your Editor
Drop-in for every AI coding tool.
Standard MCP protocol. No plugins, no extensions, no lock-in.
Claude Code reads .mcp.json automatically — just run infrawise start and open your editor.
Architecture
How Infrawise connects to your tools.
Ready to go deeper?
Full configuration reference, all CLI flags, and all 15 MCP tools documented with inputs, return shapes, and usage patterns.
View full docs →