AWS API/lambda hosting MCP client server that queries bedrock LLM using MCP hosted tools
Overview
what is AWS Bedrock MCP Client and Server?
AWS Bedrock MCP Client and Server is 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.
how to use AWS Bedrock MCP Client and Server?
To use the application, clone the repository, configure AWS credentials, build the application using Maven, and deploy it to AWS using AWS CDK. After deployment, you can interact with the API endpoints using tools like curl or Postman.
key features of AWS Bedrock MCP Client and Server?
- REST API for communicating with Amazon Bedrock models
- Utilizes MCP tools for calculations, weather information, and web page retrieval
- Handles complex AI queries requiring multiple tools
- Serverless architecture using AWS Lambda and API Gateway
use cases of AWS Bedrock MCP Client and Server?
- Performing calculations using AI models.
- Retrieving weather information based on user queries.
- Converting web pages to markdown format.
- Making complex queries that involve multiple operations.
FAQ from AWS Bedrock MCP Client and Server?
- What are the prerequisites to run this application?
You need Java 21 or later, Maven 3.8+, AWS CLI configured, and an API key from a weather service.
- How do I deploy the application?
Use AWS CDK to deploy the application after building it with Maven.
- How can I test the API?
You can test the API endpoints using curl or Postman after deployment.