How does SecureCode prevent AI agents from seeing sensitive secrets?

SecureCode uses local file injection. Secret values are written to a temporary local file, and the AI agent receives the file path instead of the raw value directly in chat, preventing exposure.

Can I control which AI agents access specific secrets?

Yes, SecureCode provides tag-based access rules. These server-side policies, configured from your dashboard, allow for granular control over AI agent access based on tags, models, or required confirmations.

How does SecureCode ensure the security of my secrets?

SecureCode employs AES-256-GCM with envelope encryption for robust data protection at rest and in transit. It also features session locking, cleanup of injected files, and comprehensive access logging.

What happens to injected secrets after an AI session is complete?

SecureCode's session locking automatically cleans (deletes) injected secret files from your local disk when a session is locked manually or auto-sleeps due to configurable inactivity, ensuring no sensitive data persists.

What types of secrets can I manage with SecureCode?

You can manage any sensitive credentials such as API keys, tokens, passwords, and other configuration values. SecureCode supports easy import from sources like .env files.

SecureCode: Secure AI Access for Sensitive API Keys & Tokens

SecureCode provides a robust MCP Server designed to manage and protect your sensitive secrets, such as API keys and tokens, when working with AI agents like Claude Code. It implements an innovative 'inject mode' where secret values are written to a temporary local file, providing the AI with only the file path, never the raw data. This approach, combined with AES-256-GCM encryption and comprehensive logging, ensures your credentials remain secure. The server offers a suite of tools for guided setup, secret management, session control, and access rule enforcement, allowing for granular, tag-based policies to dictate how and when AI agents can interact with your confidential information.

주요 기능

01Secure Secret Injection: Delivers secret values to AI agents via local file injection, preventing direct exposure in chat.

02Session Locking & Management: Protects secrets with auto-sleeping sessions, requiring activation and cleaning injected files upon lock.

03Comprehensive Toolset: Includes commands for onboarding, secret creation, retrieval, updates, deletion, and security checks.

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05Tag-Based Access Rules: Enforce granular control over AI access to secrets using customizable, server-side policies.

06End-to-End Encryption: Employs AES-256-GCM with envelope encryption for robust data protection at rest and in transit.

사용 사례

01Managing and distributing sensitive environment variables for applications, ensuring secrets are not hardcoded or exposed.

02Enabling AI agents to securely utilize API keys and tokens within development workflows without compromising credentials.

03Implementing robust security policies for AI interactions with sensitive data, requiring confirmations or active sessions for access.