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Sidd27/infrawise

by Various

MCP server for AWS infrastructure analysis — Lambda, DynamoDB, SQS, PostgreSQL, MongoDB, EventBridge & more. Works with Claude Code, Cursor, and GitHub Copilot.

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MCP

Sidd27/infrawise

Added 7 June 2026

#ai-tools#aws#claude-code#cursor#devtools#dynamodb#iac#infrastructure
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Sidd27/infrawise is an MCP server that analyzes AWS infrastructure including Lambda, DynamoDB, SQS, PostgreSQL, MongoDB, and EventBridge. It integrates with Claude Code, Cursor, and GitHub Copilot to provide infrastructure insights directly within these AI coding environments.

Best for

Best for
Developers using AI coding assistants to manage AWS infrastructure

Use cases

  • Analyze Lambda function configurations and performance
  • Review DynamoDB table schemas and usage patterns
  • Optimize SQS queue settings and throughput

How to use

Install

npx infrawise start --claude

Tools exposed

  • get_infra_overview
  • get_graph_summary
  • get_table_schema
  • analyze_function
  • suggest_gsi
  • postgres_index_suggestions
  • suggest_mongo_index
  • mysql_index_suggestions
  • get_queue_details
  • get_api_routes
  • get_topic_details
  • get_secrets_overview
  • get_parameter_overview
  • get_lambda_overview
  • get_eventbridge_details
  • get_s3_overview
  • get_log_errors
  • get_stack_outputs
  • get_cognito_overview
  • get_stream_details

Clients listed in this record (not verified here)

Claude Code, Cursor, VS Code

Notes

10 stars on GitHub. Last updated 2026-06-07. Licensed MIT.

Pros

  • Open source and written in TypeScript
  • Works with multiple popular AI coding assistants
  • Covers a broad set of AWS services

Cons

  • Low GitHub star count suggests early stage or limited adoption
  • Requires client support for the MCP protocol
  • Documentation and community support may be sparse

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Pairs with

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