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Auth0 Model Context Protocol (MCP) Server (Beta) — A secure and extendable implementation of an MCP server that provides AI assistants with controlled access to the Auth0 Management API through natural language. This project is in beta and not intended for production workloads.
Auth0 MCP server demonstrates solid definition quality with well-structured schemas, clear naming conventions, and comprehensive parameter documentation. All 8 tools have explicit schemas with typed parameters and descriptions. Tool names follow verb_noun pattern (list_, get_, create_, update_). Descriptions are detailed and actionable, averaging ~180 characters and exceeding the 10-1024 character rubric baseline. However, some parameter descriptions lack constraint information (min/max for numeric fields, format specifications), and output schemas are not fully documented in the provided source. Security-sensitive parameters are properly handled via environment variables rather than exposed in tool definitions. Tool annotations (readOnlyHint/destructiveHint) are present and properly categorized by risk level.
Create a new Auth0 application with the tenant. Prefer OIDC compliant unless otherwise specified. After creating, always explicitly tell the user that the client_secret is redacted in this response for security and provide the dashboard URL and API URL from _credentials_access so they know where to view the full secret. Also inform the user about any automatically applied settings (such as skip_non_verifiable_callback_uri_confirmation_prompt).
Create a client grant that authorizes an Auth0 application to access a specific API with defined scopes. Required for machine-to-machine (M2M) communication using the client credentials flow. Use auth0_list_resource_servers to discover available APIs (audiences) and auth0_get_resource_server to look up available scopes before creating the grant.
Create a new Auth0 resource server (API). Use RS256 for the signing_alg unless otherwise specified.
Get details about a specific Auth0 application
Get details about a specific Auth0 resource server
Numeric parameters lack explicit min/max constraints in descriptions. Parameters like 'page' and 'per_page' in list tools have no documented bounds, allowing LLMs to pass arbitrary values that could breach API rate limits or timeouts.
Output schemas not explicitly documented in tool definitions. While input schemas are comprehensive, the response structures (returned fields, types, pagination) are not documented, forcing LLMs to infer result structure and potentially miss critical fields for downstream tool chaining.
Parameter interdependencies not explicitly documented. For example, in auth0_create_application, setting 'oidc_conformant' to false or 'organization_usage' to 'require' affects which other parameters apply, but these relationships are not stated in parameter descriptions.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | B | 75 | <=2025-11-25 | v2 |
| 2026-03-09 | B | 71 | - | v1 |
List all applications in the Auth0 tenant or search by name
List all resource servers (APIs) in the Auth0 tenant
Update an existing Auth0 resource server
Complex nested object parameters (jwt_configuration, refresh_token, mobile, oidc_logout, native_social_login) lack granular descriptions. While objects are typed, individual nested fields lack descriptions explaining their purpose and constraints.
No error handling guidance in tool descriptions. Descriptions do not indicate what errors might occur (e.g., 'Invalid callback URL format', 'Audience already exists') or how LLMs should recover.
Batch operation variants missing. Tools like auth0_create_application_grant are designed for single operations, but agents calling in loops would benefit from batch variants accepting arrays of parameters, reducing token overhead and latency.