start_project

Start a stopped DenkOps deployment again (reactivates its active version).

SERVERDenkopsai SOURCE@denkopsai/mcp

High RISK CLASS

Category Execute

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/denkopsai-mcp/start-project.md

WHAT IT DOES

What start_project does on Denkopsai

AI agents invoke start_project to trigger actions in Denkopsai. 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.

Parameter	Type	Required	Description
`project_id`	string	Yes

Parameters from the server's own tool schema.

RISK

Why start_project is rated High

This tool executes a command that changes the runtime state of an external deployment system. While not destructive or financial, it performs an operational action whose effects depend on which project is specified as an argument. The blast radius is high because it can activate production deployments or services.

From the tool's definition 'Start a stopped DenkOps deployment again (reactivates its active version)' — triggers operational state change in an external system (DenkOps deployment)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs start_project safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Denkopsai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_project, this is the rule to start with:

start_project Rate-limited

start_project stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_project": {
      "limits": [
        {
          "counter": "start_project_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Denkopsai, apply this rule, and every start_project call is checked against it from then on.

FAQ

Questions about start_project

What does the start_project tool do? +

Start a stopped DenkOps deployment again (reactivates its active version). It is categorised as a Execute tool in the Denkopsai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does start_project accept? +

start_project accepts 1 parameter: project_id. Required: project_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on start_project? +

Register the Denkopsai MCP server in PolicyLayer and add a rule for start_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 Denkopsai. Nothing to install.

What risk level is start_project? +

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

Can I rate-limit start_project? +

Yes. Add a rate_limit block to the start_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 start_project completely? +

Set action: deny in the PolicyLayer policy for start_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 start_project? +

start_project is provided by the Denkopsai MCP server (@denkopsai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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