Manage authentication configuration for an app. Actions: - "configure_auth_hook": Configure a post-authentication hook function - "update_jwt": Update JWT token expiration times - "generate_service_key": Generate a new API key (service key) Parameters by action: configure_auth_hook: { app_id, act...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Mcp server.
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AI agents use manage_auth_config to create or modify resources in Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call manage_auth_config repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"manage_auth_config": {
"limits": [
{
"counter": "manage_auth_config_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} See the full Mcp policy for all 47 tools.
These attack patterns abuse exactly the kind of access manage_auth_config gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Manage authentication configuration for an app. Actions: - "configure_auth_hook": Configure a post-authentication hook function - "update_jwt": Update JWT token expiration times - "generate_service_key": Generate a new API key (service key) Parameters by action: configure_auth_hook: { app_id, action: "configure_auth_hook", post_auth_function } update_jwt: { app_id, action: "update_jwt", accessTokenTtl?, refreshTokenTtlDays? } generate_service_key: { action: "generate_service_key", name } --- configure_auth_hook Configure a post-authentication hook function for an app. When set, the specified Butterbase function is invoked (fire-and-forget) after every successful auth event: OAuth login, email login, and email signup. The hook function receives a JSON POST body: { "event": "oauth_login" | "signup" | "login", "user": { "id": "uuid", "email": "...", "provider": "google", "display_name": "...", "avatar_url": "..." }, "isNewUser": true | false, "provider": "google" | "github" | "email" | ... } The function runs as butterbase_service (RLS bypassed, ctx.user is null). Use the payload body to identify the user. Set post_auth_function to null to remove the hook. Prerequisites: The function must be deployed first (use deploy_function). Example — set hook: Input: { app_id: "app_abc123", action: "configure_auth_hook", post_auth_function: "on-auth" } Output: { auth_hook_function: "on-auth", message: "Post-auth hook set to function \"on-auth\"" } Example — remove hook: Input: { app_id: "app_abc123", action: "configure_auth_hook", post_auth_function: null } Output: { auth_hook_function: null, message: "Post-auth hook removed" } Common errors: - Function not found: Deploy the function first before configuring it as a hook. Idempotency: Safe to call multiple times (overwrites previous setting). --- update_jwt Update JWT token expiration times for access and refresh tokens. Example: Input: { app_id: "app_abc123", action: "update_jwt", accessTokenTtl: "1h", refreshTokenTtlDays: 30 } Output: { message: "JWT config updated", app_id: "app_abc123", jwt_config: { accessTokenTtl: "1h", refreshTokenTtlDays: 30 } } Token types: - Access token: Short-lived token for API requests (default: 15m) - Refresh token: Long-lived token to get new access tokens (default: 7 days) Time formats: - Access token: "15m", "1h", "2h", "1d" (s=seconds, m=minutes, h=hours, d=days) - Refresh token: Integer days (7, 30, 90) Use this to: - Increase security with shorter access tokens - Improve UX with longer refresh tokens - Balance security vs. convenience Common errors: - RESOURCE_NOT_FOUND: App doesn't exist - VALIDATION_INVALID_SCHEMA: Check time format is valid Idempotency: Safe to call multiple times (updates config). Note: Changes apply to new tokens only. Existing tokens keep their original expiration. --- generate_service_key Generate a new API key (service key) for programmatic access to the Control API. Use this to: - Create API keys for automation scripts - Generate keys for CI/CD pipelines - Provide keys to team members or services The generated key (bb_sk_...) can be used to: - Access all MCP tools programmatically - Call the Control API directly - Manage apps, schemas, functions, and data Example: Input: { action: "generate_service_key", name: "CI/CD Pipeline Key" } Output: { key: "bb_sk_a1b2c3d4e5f6...", key_id: "uuid-1234", prefix: "bb_sk_a1b2c3", name: "CI/CD Pipeline Key", created_at: "2024-01-15T10:00:00Z" } IMPORTANT: The full key is only shown ONCE. Store it securely - it cannot be retrieved again. Common errors: - AUTH_INSUFFICIENT_PERMISSIONS: Only authenticated users can generate keys Idempotency: Not idempotent - creates a new key each time. Security notes: - Keys have full access to all your apps and data - Treat keys like passwords - never commit them to git - Revoke keys immediately if compromised - Use descriptive names to track key usage Example — with substrate access: Input: { action: "generate_service_key", name: "Agent Key", substrate_access: true } Output: { key: "bb_sk_a1b2c3d4e5f6...", key_id: "uuid-1234", prefix: "bb_sk_a1b2c3", name: "Agent Key", created_at: "2024-01-15T10:00:00Z" } Note: key works on app endpoints AND on substrate endpoints for this account.. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP server in PolicyLayer and add a rule for manage_auth_config: 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 Mcp. Nothing to install.
manage_auth_config 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 manage_auth_config 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 manage_auth_config. 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.
manage_auth_config is provided by the MCP server (@butterbase/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 47 Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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