MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

This project runs Model Context Protocol (MCP) stdio servers through AWS Lambda functions, enabling the invocation of MCP servers in distributed systems.

A serverless implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage.

A minimalist Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Framework, supporting local development and testing.

A serverless MCP protocol implementation project based on AWS Lambda, CloudFront, and Cognito authentication, providing a complete cloud MCP server infrastructure, supporting OAuth 2.0 authentication, real-time stream transmission, and a scalable architecture.

This project demonstrates a serverless MCP (Model Context Protocol) tool implementation based on AWS Lambda, including a Python server - side and a TypeScript client, supporting streaming HTTP communication. The server - side simplifies the MCP tool development process, has built - in session state management, and demonstrates integration with Amazon Bedrock.

An MCP service that provides cross - language search functionality for AWS Lambda Powertools documentation

A server for deploying and managing AWS Lambda functions through the MCP interface, providing functions for function deployment, list viewing, and guided deployment.

A simple MCP server based on AWS Lambda and API Gateway, deployed using AWS CDK, supporting local testing and remote calls.

A simple MCP server prototype that runs natively on AWS Lambda and API Gateway without additional bridging components or custom transports.

A Q&A chatbot project about the EU AI Act, using a hybrid retrieval method (vector search + knowledge graph), providing local running and AWS Lambda deployment options.

A simple Model Context Protocol (MCP) server based on AWS Lambda and API Gateway, deployed using the Serverless Application Model (SAM), supporting local development and testing.

This project is a server implementation of the Model Context Protocol (MCP) based on AWS Lambda and SAM, providing two interfaces for system configuration and client usage, and supporting functions such as tool registration, permission management, and streaming responses.

An HTTP wrapper for AWS Lambda used for Model Context Protocol servers, providing local development and cloud deployment functions.

A Ruby template project for building AWS Lambda functions, supporting rapid deployment and testing

This project demonstrates how to transform the official TypeScript MCP server into an implementation that supports the streamable HTTP protocol and is deployed via Amazon Lambda. Core features include support for the streaming protocol, elastic deployment based on Lambda, and cost optimization, suitable for scenarios that require seamless integration with existing HTTP infrastructure.

This project is a RAG (Retrieval Augmented Generation) service based on the AWS serverless architecture. It uses Lambda, OpenSearch Serverless, and S3 for document storage and retrieval, provides an MCP protocol interface through API Gateway, and integrates OpenAI for embedding and generation.