set_env
Set/overwrite a DenkOps project's environment variable. Values are write-only (cannot be read back). The change is staged — run the redeploy tool to apply it. Reserved keys (DENKOPS_*, etc.) are rejected.
This record as markdown: /tools/denkopsai-mcp/set-env.md
What set_env does on Denkopsai
AI agents use set_env to create or update resources in Denkopsai, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Denkopsai environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
key | string | Yes | |
value | string | Yes | |
project_id | string | Yes |
Parameters from the server's own tool schema.
Why set_env is rated Medium
This tool creates or modifies environment variables in a project configuration. While environment variables can significantly impact application behavior (especially if they contain secrets, API keys, or configuration), the change is staged and reversible (can be redeployed with different values). It does not permanently delete data or move money, so it falls under Write rather than Destructive or Financial.
From the tool's definition Tool description states 'Set/overwrite a DenkOps project's environment variable' and 'The change is staged — run the redeploy tool to apply it.' This is a reversible modification operation.
Attacks that exploit this kind of access
The rule that runs set_env 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 set_env, this is the rule to start with:
set_env stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Denkopsai, apply this rule, and every set_env call is checked against it from then on.
Questions about set_env
Set/overwrite a DenkOps project's environment variable. Values are write-only (cannot be read back). The change is staged — run the redeploy tool to apply it. Reserved keys (DENKOPS_*, etc.) are rejected. It is categorised as a Write tool in the Denkopsai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
set_env accepts 3 parameters: key, value, project_id. Required: key, value, project_id. The full parameter table on this page comes from the server's own tool schema.
Register the Denkopsai MCP server in PolicyLayer and add a rule for set_env: 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.
set_env is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_env 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.
Set action: deny in the PolicyLayer policy for set_env. 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.
set_env 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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