"Amazon CloudWatch" matching MCP servers:

Enables searching and analyzing AWS CloudWatch logs with support for configurable log groups, time-based searches, and service-specific log stream filtering.

Enables AI agents to query AWS CloudWatch metrics, alarms, and logs read-only via MCP, providing rapid health snapshots and triage without console navigation.

Enables LLMs to autonomously query AWS CloudWatch Logs and perform structured root-cause analysis via natural language prompts, using MCP tools for log group listing and Insights queries.

Facilitate the management and automation of Amazon Sponsored Ads

Enables an AI assistant to read and query Amazon CloudWatch metrics, logs, and alarms through read-only MCP tools.

Enables natural language queries for AWS CloudWatch logs, metrics, and alarms via an LLM agent with MCP tools.

An MCP server that allows AI assistants to access AWS CloudWatch logs by listing log groups and reading log entries.

A simplified MCP server that provides a streamlined way to interact with AWS CloudWatch resources (log groups, log queries, and alarms) through the MCP protocol.

Provides AI assistants with read-only access to AWS CloudWatch Logs for production debugging and log analysis, enabling error searching and bug report generation.

Provides tools to query and calculate AWS EBS performance metrics from CloudWatch, including IOPS, throughput, and latency. It also enables users to manage snapshots and retrieve advanced diagnostic data like I/O utilization and burst balance.

Enables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.

Monitors AWS infrastructure including EC2, RDS, S3, SQS, CloudWatch, and more through 19 tools, enabling natural language queries for infrastructure status.

MCP server for analyzing OpenTelemetry traces with performance and error diagnosis, supporting loading from files, AWS X-Ray, and CloudWatch.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

An MCP server that connects Claude (or any MCP compatible client) to your existing log infrastructure. Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch without writing filter expressions or leaving your editor.

Enables AI assistants to monitor and troubleshoot AWS Application Signals services by tracking service health, analyzing SLO compliance, querying CloudWatch metrics, and investigating issues using distributed tracing with AWS X-Ray.

Monitor and analyze AWS ECS services, including service status, CloudWatch metrics, and load balancer integration.

This MCP server provides tools for inspecting AWS cloud infrastructure, including listing S3 buckets, EC2 instances, and fetching CloudWatch logs using your local AWS credentials.

A read-only MCP server that exposes tools to query Datadog monitors and logs, and AWS CloudWatch Logs, and to group recurring errors by fingerprint. Designed for use with Claude Code to diagnose issues and propose fixes.

Enables monitoring and analysis of Amazon RDS (MySQL, PostgreSQL) instances, metrics, and slow query logs via natural language.