adaptercloud_auth_login_with_api_key
Authenticate with a pre-issued API key (headless service mode). The key is stored locally and sent as X-API-Key on every gateway request; no network call is made by this tool. Use auth_status to verify. Returns { status: "authenticated", method: "api_key" }.
This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-auth-login-with-api-key.md
What adaptercloud_auth_login_with_api_key does on Adaptercloud
AI agents use adaptercloud_auth_login_with_api_key to create or update resources in Adaptercloud, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adaptercloud environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
apiKey | string | Yes | Pre-issued API key (e.g. from auth_api_keys_create) |
Parameters from the server's own tool schema.
Why adaptercloud_auth_login_with_api_key is rated Medium
An AI agent can call adaptercloud_auth_login_with_api_key faster than any human can review: one bad instruction and it creates or modifies resources in Adaptercloud by the hundred, each call as confident as the last.
Risk signalsHandles credentials or secrets (apiKey) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs adaptercloud_auth_login_with_api_key safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adaptercloud, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adaptercloud_auth_login_with_api_key, this is the rule to start with:
adaptercloud_auth_login_with_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 Adaptercloud, apply this rule, and every adaptercloud_auth_login_with_api_key call is checked against it from then on.
Questions about adaptercloud_auth_login_with_api_key
Authenticate with a pre-issued API key (headless service mode). The key is stored locally and sent as X-API-Key on every gateway request; no network call is made by this tool. Use auth_status to verify. Returns { status: "authenticated", method: "api_key" }. It is categorised as a Write tool in the Adaptercloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
adaptercloud_auth_login_with_api_key accepts 1 parameter: apiKey. Required: apiKey. The full parameter table on this page comes from the server's own tool schema.
Register the Adaptercloud MCP server in PolicyLayer and add a rule for adaptercloud_auth_login_with_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 Adaptercloud. Nothing to install.
adaptercloud_auth_login_with_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 adaptercloud_auth_login_with_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 adaptercloud_auth_login_with_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.
adaptercloud_auth_login_with_api_key is provided by the Adaptercloud MCP server (@burdenoff/adaptercloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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