redeploy_project

Redeploy an existing deployment with a new project version. Use this to update a deployment with a newer version of the project or rollback to a previous version.

Server Openl openl-mcp-server
Category Execute
Risk class High
Parameters 00 required

What redeploy_project does on Openl

AI agents invoke redeploy_project to trigger actions in Openl. 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 redeploy_project needs a policy

Redeployment triggers an external operation that pushes a project version into a live deployment environment. This is not merely writing data — it executes a deployment pipeline with real-world effects (activating new rules, rolling back versions).

From the tool's definition Redeploy an existing deployment with a new project version. Use this to update a deployment with a newer version of the project or rollback to a previous version.

Questions about redeploy_project

What does the redeploy_project tool do? +

Redeploy an existing deployment with a new project version. Use this to update a deployment with a newer version of the project or rollback to a previous version. It is categorised as a Execute tool in the Openl MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on redeploy_project? +

Register the Openl MCP server in PolicyLayer and add a rule for redeploy_project: 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 Openl. Nothing to install.

What risk level is redeploy_project? +

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

Can I rate-limit redeploy_project? +

Yes. Add a rate_limit block to the redeploy_project 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 redeploy_project completely? +

Set action: deny in the PolicyLayer policy for redeploy_project. 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 redeploy_project? +

redeploy_project is provided by the Openl MCP server (openl-mcp-server). 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.