apply_tf_project_infrastructure

Run

Server Infrastructure Auto Provisioner zerosync-co/mcp-server-autoprovisioner
Category Execute
Risk class High
Parameters 00 required

What apply_tf_project_infrastructure does on Infrastructure Auto Provisioner

AI agents invoke apply_tf_project_infrastructure to trigger actions in Infrastructure Auto Provisioner. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why apply_tf_project_infrastructure needs a policy

In Terraform, 'apply' executes planned infrastructure changes against real cloud environments, provisioning, modifying, or reconfiguring resources. This is an Execute-category action with critical severity because misuse could spin up expensive cloud infrastructure, expose security vulnerabilities, or cause widespread service disruption.

From the tool's definition Tool name 'apply_tf_project_infrastructure' with description 'Run' — 'apply' in Terraform context means executing infrastructure provisioning/changes against real cloud resources

Questions about apply_tf_project_infrastructure

What does the apply_tf_project_infrastructure tool do? +

Run. It is categorised as a Execute tool in the Infrastructure Auto Provisioner MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on apply_tf_project_infrastructure? +

Register the Infrastructure Auto Provisioner MCP server in PolicyLayer and add a rule for apply_tf_project_infrastructure: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Infrastructure Auto Provisioner. Nothing to install.

What risk level is apply_tf_project_infrastructure? +

apply_tf_project_infrastructure is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit apply_tf_project_infrastructure? +

Yes. Add a rate_limit block to the apply_tf_project_infrastructure rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block apply_tf_project_infrastructure completely? +

Set action: deny in the PolicyLayer policy for apply_tf_project_infrastructure. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides apply_tf_project_infrastructure? +

apply_tf_project_infrastructure is provided by the Infrastructure Auto Provisioner MCP server (zerosync-co/mcp-server-autoprovisioner). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.