Webiny is an open-source, full-stack content platform designed for enterprise-level content management and delivery. It is self-hosted on a user's AWS account, leveraging serverless technologies such as AWS Lambda, DynamoDB, and S3, ensuring automatic scaling and minimal operational overhead. The platform provides a Headless CMS with custom content models, a GraphQL API, multi-tenancy, and various content management features like localization and versioning. Additionally, it includes a Website Builder with a drag-and-drop page editor and a Next.js SDK, alongside a robust File Manager for digital asset management. Webiny is built as a TypeScript framework, emphasizing extensibility through code rather than just configuration. Its core framework offers lifecycle hooks, dependency injection, and GraphQL schema extensions. A key feature is its AI-assisted development capability, powered by an integrated MCP server. This server provides AI coding agents with deep contextual understanding of Webiny's architecture, enabling them to generate accurate code for tasks such as creating content models, extending APIs, or building UI components, aligning with Webiny's strongly typed extension points for correctness.
https://github.com/webiny/webiny-js
Apache APISIX is a high-performance cloud-native API Gateway and AI Gateway that supports Model Context Protocol (MCP) integration through its mcp-bridge plugin, offering dynamic traffic management, security, and observability features.
AWS MCP Servers is a suite of specialized Model Context Protocol servers that integrate AWS best practices and resources into AI-powered development workflows to enhance cloud-native development and infrastructure management.
MCP Registry is a community-driven centralized service offering a RESTful API for discovering, managing, and publishing Model Context Protocol (MCP) servers with MongoDB and Docker support.
Olares is an open-source personal cloud operating system that enables users to run local AI models and applications with personalized, context-aware AI interactions using a Model Context Protocol-like mechanism, providing a private and secure AI home server environment.
Cloudflare MCP Server is a suite of MCP servers that enable large language model clients to interact with and manage Cloudflare's cloud services through natural language commands, facilitating automation and insights across various domains.
mcp-grafana is an MCP server that provides comprehensive programmatic access to Grafana's dashboards, datasources, alerts, incidents, and on-call management features through MCP clients.
MCP Containers offers containerized versions of hundreds of MCP servers, enabling easy, secure, and up-to-date deployment of Model Context Protocol servers for AI integration and experimentation.
ToolHive is a CLI utility that simplifies and secures the deployment and management of Model Context Protocol (MCP) servers using containerization and standardized packaging.