AWS MCP Server (Preview) now with enhanced monitoring and semantic search capability

Today, AWS announces that the AWS MCP Server (preview) now publishes operational metrics to Amazon CloudWatch and introduces scalable Agent SOPs discovery using semantic similarity. Agent SOPs are pre-built, tested workflows that guide AI assistants through complex multi-step AWS tasks. These updates give you visibility into your MCP Server usage and provide a guided path for your agents to perform tasks on AWS.

Previously, customers were unable to monitor changes done through agents using AWS MCP server to track usage patterns, identify permission issues, and set up alarms on errors. With this update, the AWS MCP Server now automatically publishes metrics under the AWS-MCP namespace in CloudWatch at no additional cost. You can monitor invocation counts, success rates, client errors, server errors, and throttling for individual tools such as the AWS API caller (call_aws) and the Agent SOP retriever (retrieve_agent_sop). These metrics help you track usage patterns, identify permission issues, and set up alarms when error rates exceed your thresholds. Additionally, the documentation search tool (search_documentation) now uses semantic similarity to return relevant Agent SOPs alongside AWS documentation results, allowing AI assistants to discover the right SOP through natural language queries.

The AWS MCP Server is available in preview in the US East (N. Virginia) AWS Region at no additional cost.

To get started on AWS MCP server, please read documentation here.

Categories: marketing:marchitecture/artificial-intelligence,marketing:marchitecture/developer-tools

Source: Amazon Web Services

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