Terraform Cloud
Terraform Cloud MCP Server integrates Claude with the Terraform Cloud API, allowing AI assistants to manage infrastructure through natural conversation. Built with Python 3.12+ and FastMCP, it provides tools for authentication, workspace management (create, read, update, delete, lock/unlock), and run management (plan, apply, discard, cancel). The server supports multiple authentication methods and can be easily connected to Claude through CLI or Desktop configurations, making it ideal for DevOps teams who want to streamline infrastructure management through conversational interfaces.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/severity1/terraform-cloud-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Terraform Cloud from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.