Overview
Pulumi MCP Server
AI-powered Infrastructure as Code development with Pulumi MCP server.
The Pulumi Model Context Protocol (MCP) server streamlines Infrastructure as Code development by seamlessly integrating AI-powered coding assistants with Pulumi's comprehensive cloud infrastructure toolkit. This powerful integration enables developers to leverage natural language interactions for complex infrastructure tasks, significantly reducing the traditional friction of context switching between documentation, CLI tools, and code editors. The MCP server provides AI assistants with direct access to essential Pulumi capabilities including querying the Pulumi Registry for resource information and schemas, executing CLI commands like pulumi preview, pulumi up, and pulumi destroy, accessing stack outputs and configuration values, and validating infrastructure code before deployment. Supporting popular AI development tools such as Cursor, Anthropic's Claude Code, GitHub Copilot, and Windsurf, the server transforms infrastructure development into a conversational, intuitive workflow where you can describe your cloud architecture needs in plain English and receive intelligent, automated assistance.
Key features include comprehensive registry integration that allows real-time resource discovery and property lookup across all major cloud providers, integrated CLI automation for seamless deployment workflows, intelligent code generation based on best practices and policy compliance, and advanced debugging capabilities with real-time feedback and error resolution. The server also offers specialized deployment tools for automatic application analysis and AWS resource provisioning, along with conversion utilities for migrating existing Terraform configurations to TypeScript. These capabilities enable accelerated development cycles, enhanced learning through conversational infrastructure exploration, improved reliability with integrated validation and preview functionality, and dramatically reduced time-to-deployment for cloud applications.
By eliminating the need to manually search documentation, write boilerplate code, or constantly switch between different tools and interfaces, the Pulumi MCP server creates a unified, AI-enhanced development environment that keeps developers in flow state while building robust, scalable cloud infrastructure. Whether you're provisioning Kubernetes clusters, setting up monitoring systems, or managing complex multi-cloud deployments, this integration provides intelligent assistance that understands your infrastructure context, suggests optimal configurations, and helps you iterate rapidly from concept to production-ready infrastructure.
Highlights
- Natural language to infrastructure code
- Works with popular AI coding assistants
- Deploy faster with automated validation
Details
Unlock automation with AI agent solutions

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Delivery details
Docker container
- Amazon Bedrock AgentCore - Preview
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release on AWS Marketplace
Additional details
Usage instructions
To pull the image from ECR:
docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/pulumi/pulumi-mcp:0.1.7
For additional insatructions and installation options, consult
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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