Terraform Registry
This MCP server implementation provides tools for interacting with the Terraform Registry API, enabling AI agents to query provider information, resource details, module metadata, and generate example configurations. Developed by Paul Thrasher, it offers functionalities such as provider lookup, resource usage examples, module recommendations, data source lookup, and schema details retrieval. Built with TypeScript and leveraging the Model Context Protocol SDK, the server is particularly useful for AI applications that need to automate Terraform-related tasks, assist in infrastructure-as-code development, or provide intelligent suggestions for Terraform configurations.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · 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/thrashr888/terraform-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Terraform Registry 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.