S3 Tools

Integrates with Cursor IDE to provide real-time code review capabilities, leveraging GPT models for intelligent analysis and specific improvement suggestions.

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

Connect with Pinecone vector database to develop knowledgeable AI applications.

One click installation & Configuration，access to OpenAI's websearch functionality through the Model Context Protocol。

Integrates with Podman's API to enable container creation, management, and orchestration for automated DevOps workflows and microservices architecture deployment.

The AWS Serverless Model Context Protocol (MCP) Server streamlines how developers build serverless applications. It provides contextual guidance specific to serverless development, helping developers make informed decisions about architecture, implementation, and deployment throughout the entire application development lifecycle. With AWS Serverless MCP, developers can build reliable, efficient, and production-ready serverless applications with confidence.