Terraform Mcp Server
The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced a
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Terraform MCP Server
The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
Features
- Dual Transport Support: Both Stdio and StreamableHTTP transports with configurable endpoints
- Terraform Registry Integration: Direct integration with public Terraform Registry APIs for providers, modules, and policies
- HCP Terraform & Terraform Enterprise Support: Full workspace management, organization/project listing, and private registry access
- Workspace Operations: Create, update, delete workspaces with support for variables, tags, and run management
- OTel metrics for monitoring tool usage: Integration with open telemetry meters to track tool-call volume, latency and failures in Streamable HTTP mode
Security Note: At this stage, the MCP server is intended for local use only. If using the StreamableHTTP transport, always configure the MCP_ALLOWED_ORIGINS environment variable to restrict access to trusted origins only. This helps prevent DNS rebinding attacks and other cross-origin vulnerabilities.
Security Note: Depending on the query, the MCP server may expose certain Terraform data to the MCP client and LLM. Do not use the MCP server with untrusted MCP clients or LLMs.
Legal Note: Your use of a third party MCP Client/LLM is subject solely to the terms of use for such MCP/LLM, and IBM is not responsible for the performance of such third party tools. IBM expressly disclaims any and all warranties and liability for third party MCP Clients/LLMs, and may not be able to provide support to resolve issues which are caused by the third party tools.
Caution: The outputs and recommendations provided by the MCP server are generated dynamically and may vary based on the query, model, and the connected MCP client. Users should thoroughly review all outputs/recommendations to ensure they align with their organization’s security best practices, cost-efficiency goals, and compliance requirements before implementation.
Prerequisites
- 1.Ensure Docker is installed and running to use the server in a containerized environment.
- 2.Install an AI assistant that supports the Model Context Protocol (MCP).
Command Line Options
Environment Variables:
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a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced a. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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