AWS Bedrock Logs MCP

what is AWS Bedrock Logs MCP? AWS Bedrock Logs MCP is a command-line interface and API designed for analyzing AWS Bedrock usage and logs through Anthropic's Model Control Protocol (MCP). It allows users to interactively query and analyze their Bedrock usage data using natural language. how to use AWS Bedrock Logs MCP? To use the tool, install the necessary dependencies, configure your AWS credentials, and run the server. You can then connect to the server using Claude and issue queries about your Bedrock usage. key features of AWS Bedrock Logs MCP? Detailed model usage analysis and token consumption statistics User-based analytics for tracking usage patterns and costs Daily usage reports to monitor trends Interactive querying through natural language with Claude use cases of AWS Bedrock Logs MCP? Analyzing AWS Bedrock model invocation logs Monitoring token consumption across different models Generating daily usage reports for cost analysis FAQ from AWS Bedrock Logs MCP? What are the requirements to use this tool? You need Python 3.13+, AWS credentials with CloudWatch Logs access, and Anthropic API access for Claude integration. How do I start the server? Run the command python cloudwatch_mcp_server.py to start the server. Can I use this tool without Claude? The tool is designed to work with Claude for natural language queries, but you can also access the API directly.

As an MCP (Model Context Protocol) server, AWS Bedrock Logs MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the tool, install the necessary dependencies, configure your AWS credentials, and run the server. You can then connect to the server using Claude and issue queries about your Bedrock usage. key features of AWS Bedrock Logs MCP? Detailed model usage analysis and token consumption statistics User-based analytics for tracking usage patterns and costs Daily usage reports to monitor trends Interactive querying through natural language with Claude use cases of AWS Bedrock Logs MCP? Analyzing AWS Bedrock model invocation logs Monitoring token consumption across different models Generating daily usage reports for cost analysis FAQ from AWS Bedrock Logs MCP? What are the requirements to use this tool? You need Python 3.13+, AWS credentials with CloudWatch Logs access, and Anthropic API access for Claude integration. How do I start the server? Run the command python cloudwatch_mcp_server.py to start the server. Can I use this tool without Claude? The tool is designed to work with Claude for natural language queries, but you can also access the API directly.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.