A Model Context Protocol (MCP) server that bridges MCP clients with AWS Lambda functions, enabling AI models to invoke Lambda functions as tools without code changes.
Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment.
Enables MCP clients to interact with any OpenAPI-defined REST API through a serverless AWS Lambda deployment. Supports multiple authentication methods and provides cost-effective, scalable access to third-party APIs through natural language.
Bridges LLM clients with existing RESTful microservices by converting MCP tool calls into REST requests, enabling any REST API to be used as an MCP tool without modifying the microservices.
A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.