adaptercloud_auth_authenticate_app
Machine-to-machine auth via the authenticateApp GraphQL mutation. Pass an OAuth app client_id + client_secret (and optional scopes) to receive an access token; persists token for subsequent calls. Returns { accessToken, tokenType, expiresIn, scopes }.
This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-auth-authenticate-app.md
What adaptercloud_auth_authenticate_app does on Adaptercloud
AI agents call adaptercloud_auth_authenticate_app to retrieve information from Adaptercloud without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
scopes | array | — | Optional list of scope strings to request |
clientId | string | Yes | OAuth app clientId |
clientSecret | string | Yes | OAuth app clientSecret (shown only once on app creation) |
Parameters from the server's own tool schema.
Why adaptercloud_auth_authenticate_app is rated Low
Even though adaptercloud_auth_authenticate_app only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs adaptercloud_auth_authenticate_app 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_authenticate_app, this is the rule to start with:
adaptercloud_auth_authenticate_app is read-only, so it stays allowed. 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_authenticate_app call is checked against it from then on.
Questions about adaptercloud_auth_authenticate_app
Machine-to-machine auth via the authenticateApp GraphQL mutation. Pass an OAuth app client_id + client_secret (and optional scopes) to receive an access token; persists token for subsequent calls. Returns { accessToken, tokenType, expiresIn, scopes }. It is categorised as a Read tool in the Adaptercloud MCP Server, which means it retrieves data without modifying state.
adaptercloud_auth_authenticate_app accepts 3 parameters: scopes, clientId, clientSecret. Required: clientId, clientSecret. 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_authenticate_app: 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_authenticate_app is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the adaptercloud_auth_authenticate_app 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_authenticate_app. 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_authenticate_app 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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