Klavis AI utilizes multiple layers of security to protect data and access security:
- authentication mechanism: API access control using OAuth authentication and Bearer tokens
- HTTPS protocol: All API communication is transmitted via HTTPS encryption
- Key Management: Require users to store sensitive information (such as API keys) in the
.envIn the file, not in the code - access control: A valid Klavis API key is required for each request
- server quarantine: Isolate different MCP server instances from each other to avoid privilege proliferation
The platform also advises users:
- Periodic API key rotation
- Create different access tokens for different integration scenarios
- Manage access through account settings
- utilization
mcp-server/instance/set-auth-tokenAPIs set exclusive authentication tokens for specific instances
Together, these measures make up Klavis AI's security system.
This answer comes from the articleKlavis AI: Model Context Protocol (MCP) Integration Tool for AI ApplicationsThe
May not be reproduced without permission:AI productivity tools " How does Klavis AI ensure data security and access control?
