Terraform MCP Server is a Model Context Protocol (MCP) server developed by HashiCorp that integrates seamlessly with Terraform Registry APIs to enhance and automate Infrastructure as Code (IaC) development workflows. It supports dual transport modes, including Stdio and StreamableHTTP, allowing flexible communication options for both local and distributed environments. The server enables users to query and explore Terraform providers, retrieve detailed documentation, and search for Terraform modules with comprehensive metadata such as inputs, outputs, configuration, and examples. It also supports querying and retrieving Sentinel policies related to Terraform, facilitating policy-as-code practices. The server is container-ready with Docker support, making deployment straightforward and consistent across environments. It offers environment variable configurations for transport modes and ports, and command-line options for easy operation. The server is designed to be used with popular development tools like Visual Studio Code, Claude Desktop, and Amazon Q, providing integration examples and configuration snippets for these platforms. The project emphasizes caution by advising users to review all outputs and recommendations for security, cost-efficiency, and compliance before implementation. The server's toolsets include provider documentation resolution, module search and details retrieval, and policy search and details retrieval, all directly integrated with Terraform Registry APIs. Installation can be done via Go or Docker, with instructions for building the Docker image locally. Overall, Terraform MCP Server acts as a powerful bridge between Terraform Registry and MCP clients, streamlining IaC development and policy management through automated, dynamic, and interactive capabilities.
https://github.com/hashicorp/terraform-mcp-server
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.
Webiny is an open-source, self-hosted headless CMS and framework, built on AWS serverless with AI-assisted development capabilities via an embedded MCP server, designed for large organizations.
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.