What are the prerequisites to run the application?
Java 21 or later, Maven 3.8+, AWS CLI with appropriate credentials, and a Weather API key from weatherapi.com. AWS CDK must also be installed globally.
@sverze
基本情報
AWS API/lambda hosting MCP client server that queries bedrock LLM using MCP hosted tools
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A Spring Boot application that serves as a client for the Model Context Protocol (MCP), enabling interaction with Amazon Bedrock AI models with tool-using capabilities. It provides a REST API for calculations, weather information, and web page retrieval, and runs as a serverless AWS Lambda function behind API Gateway.
Clone the repository, configure AWS credentials with privileges for Lambda, API Gateway, Bedrock, and the Anthropic Sonnet 4.0 model. Build with mvn clean package install -DWEATHER_API_KEY=<your_key> and deploy using AWS CDK (cdk bootstrap, cdk deploy --context WEATHER_API_KEY=<your_key>). After deployment, use the provided API Gateway URL to call endpoints like /hello, /tools, /calculate, /weather, /webpage, and /query via curl.
Java 21 or later, Maven 3.8+, AWS CLI with appropriate credentials, and a Weather API key from weatherapi.com. AWS CDK must also be installed globally.
Calculations (add, subtract, etc.), weather information for a given location, and conversion of a web page to markdown.
Deployment is managed with AWS CDK. Run `cdk bootstrap` followed by `cdk deploy --context WEATHER_API_KEY=<your_key>` from the `aws-bedrock-mcp-client-server-cdk` directory.
Check the AWS CloudWatch console under the log group `/aws/lambda/McpClientServerFunction`.
Run `cdk destroy` from the `aws-bedrock-mcp-client-server-cdk` directory.
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