Retrieve CloudWatch metric statistics to monitor AWS resources like EC2, RDS, and Lambda functions with customizable time ranges, dimensions, and statistical calculations.
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140,932 tools. Last updated 2026-05-26 18:19
"Understanding AWS EC2 Pricing" matching MCP tools:
- Capture a live snapshot of an AWS service (e.g., EC2, S3, RDS) in a specified region and account using Cloudcraft, enabling immediate visualization of current resource configurations.MIT
- Identify allowed EC2 instance types for an AWS Ocean cluster to optimize instance selection.MIT
- Terminate AWS EC2 instances to stop resource usage and manage costs. Specify instance IDs and region to permanently shut down virtual servers.MIT
- Retrieve a list of EC2 instances in a specified AWS region to monitor and manage your cloud infrastructure.MIT
- Start AWS EC2 instances in a specified region by providing instance IDs. This tool enables users to launch virtual servers on AWS cloud infrastructure through the AWS MCP Server.MIT
Matching MCP Servers
- PythonMIT
- AlicenseBqualityCmaintenanceEnables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.Last updated103The Unlicense
Matching MCP Connectors
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Create AWS cost estimates and shareable AWS Pricing Calculator URLs.
- Restart AWS EC2 instances in a specified region to apply updates, troubleshoot issues, or refresh system resources.MIT
- Stop AWS EC2 instances in a specified region to manage costs or perform maintenance. Configure options like force stop, hibernation, or permission checks.MIT
- Launch an EC2 instance in a specified AWS region by configuring instance type, AMI, security groups, and other parameters to deploy virtual servers.MIT
- Identify EC2 instances with high CPU or memory utilization (≥80%) to optimize AWS costs and performance by analyzing resource usage patterns.
- Identify Amazon Machine Images (AMIs) not associated with EC2 instances, Auto Scaling Groups, or Spot Fleet Requests to optimize AWS costs and reduce storage expenses.
- Identify EC2 instances with low CPU and memory utilization (≤20%) to optimize AWS costs by finding underused resources for potential rightsizing or termination.
- Retrieve AWS EC2 instance details by providing a public IP address or instance ID to access configuration, status, and metadata information.MIT
- Retrieve storage details for AWS EC2 instances, including disk type, IOPS, and throughput metrics, to monitor and manage cloud resources effectively.MIT
- Retrieve and display all AWS EC2 instances to monitor cloud infrastructure and manage resources effectively.MIT
- Analyze EC2 instances to identify cost-saving opportunities and provide optimization recommendations for reducing AWS expenses.
- Retrieve AWS EC2 instance monitoring metrics for specified time periods to analyze performance and track resource utilization.MIT
- Retrieve and display all Amazon EC2 instances in a specified AWS region to monitor and manage cloud infrastructure resources.MIT
- Retrieve EC2 spending data for the previous day using AWS Cost Explorer API to monitor cloud infrastructure costs.MIT
- Start an AWS EC2 instance by providing the instance ID and optional region to launch cloud computing resources.MIT