create_api_key
Creates a long-lived API key for server-to-server integration without OAuth. The raw key is returned only once — store it securely. The user must explicitly consent to creating the key. Requires admin scope. Supports granular scoping: restrict the key to specific data-slot slugs, specific display...
This record as markdown: /tools/de-agentview-agentview-mcp/create-api-key.md
What create_api_key does on agentView
AI agents use create_api_key to create or update resources in agentView, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your agentView environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Human-readable name for the key. Example: 'Home Assistant', 'CI Pipeline'. |
scope | string | — | Scope for the key: 'content_only' (send content, list displays) or 'admin' (full management). |
org_id | string | — | Optional organization ID. If set, the key acts on behalf of this organization. |
permissions | string | — | Granular permission flag: 'read', 'write', or 'read_write' (default). Applied on top of 'scope' — e.g. a content_only read-only key cannot PUT data slots. Match |
access_token | string | — | Optional bearer token; prefer session_request_id. |
capabilities | array | — | Optional JSON array of fine-grained capability flags this key may exercise. Allowed values: 'slot.read' (list/get slots), 'slot.write' (put/delete slots), 'disp |
expires_in_days | integer | — | Optional expiration in days. If not set, the key never expires. |
allowed_slot_slugs | array | — | Optional JSON array of data-slot slugs this key may touch (max 64). When set, every data-slot request must target one of these slugs. Omit or pass [] for no slu |
allowed_display_ids | array | — | Optional JSON array of display profile IDs this key may touch (max 64). When set, every display request must target one of these IDs. Omit or pass [] for no dis |
Parameters from the server's own tool schema.
Why create_api_key is rated Medium
An AI agent can call create_api_key faster than any human can review: one bad instruction and it creates or modifies resources in agentView by the hundred, each call as confident as the last.
Risk signalsHandles credentials or secrets (access_token) · Admin/system-level operation
Attacks that exploit this kind of access
The rule that runs create_api_key safely
PolicyLayer is an MCP gateway: it sits between your AI agents and agentView, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_api_key, this is the rule to start with:
create_api_key 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 agentView, apply this rule, and every create_api_key call is checked against it from then on.
Questions about create_api_key
Creates a long-lived API key for server-to-server integration without OAuth. The raw key is returned only once — store it securely. The user must explicitly consent to creating the key. Requires admin scope. Supports granular scoping: restrict the key to specific data-slot slugs, specific display IDs, a read/write permission flag, and/or fine-grained capability flags. It is categorised as a Write tool in the agentView MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_api_key accepts 9 parameters: name, scope, org_id, permissions, access_token, capabilities, expires_in_days, allowed_slot_slugs, allowed_display_ids. Required: name. The full parameter table on this page comes from the server's own tool schema.
Register the agentView MCP server in PolicyLayer and add a rule for create_api_key: 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 agentView. Nothing to install.
create_api_key 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 create_api_key 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 create_api_key. 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.
create_api_key is provided by the agentView MCP server (https://agentview.de/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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