Identity API MCP Server

Exposing the Identity API as a tool via the Model Context Protocol (MCP) provides significant value to AI coding assistants by supplying them with precise, real-time context about the developer's identity and authorization. This dynamic integration transforms static code completion into an identity-aware assistant. For instance, an AI agent can query the authenticated user's details to tailor its suggestions—such as recommending specific library configurations or security practices relevant to the user's assigned team, project, or compliance scope. It enables the assistant to verify, at the moment of suggestion, whether the user has the appropriate entitlements to access a particular resource or execute a certain operation, thereby preventing the generation of code that would lead to unauthorized access errors. This integration bridges the gap between the developer's environment and their platform-level permissions, fostering the creation of more accurate, secure, and contextually relevant development workflows.

A developer can instruct an AI assistant to perform a range of dynamic, identity-aware tasks using this MCP server. For example, a user could prompt the AI to "check my user scopes and suggest which of these new API endpoints I am permitted to call based on my current permissions." The AI agent would call the Identity API, analyze the returned scopes, and cross-reference them with a list of endpoints, providing a tailored recommendation. In another scenario, a developer could ask, "Help me write a script to export my team's data; first confirm my identity and role to ensure I have the necessary 'export' permission." The assistant would first validate the user's authority before proceeding. Furthermore, the AI could be instructed to "use my user ID from the Identity API to pre-fill authentication headers in this boilerplate API client code," automating a repetitive setup task with verified data.

When integrating this API as an MCP tool, developers must adhere to strict security and configuration best practices. Although the basic authentication method is noted as "None," this indicates the MCP server itself handles the secure propagation of the user's existing session token or API key to the Identity API endpoint; developers must ensure this token is transmitted securely (e.g., via HTTPS) and never exposed in client-side code or logs. Adherence to the principle of least privilege is critical: applications and AI assistants should request only the minimum OAuth scopes necessary for their specific function. Developers must also remember that not all user fields are returned; access to sensitive attributes requires explicit approval from the relevant business unit. It is essential to treat the API response as potentially containing PII (Personally Identifiable Information) and handle it in compliance with data protection regulations. Configuration should involve securely storing any client credentials in a secrets manager, implementing proper error handling for cases where the user is not authenticated or lacks required scopes, and regularly reviewing the scopes requested by the AI tool to ensure they remain justified.