WebMCP is designed with security in mind and has the following security features:
- Browser Sandbox Environment: All operations run in the browser's secure sandbox, isolating system resources
- Authority Succession Mechanism: The AI assistant can only perform actions that are allowed by the user's current session permissions
- authentication integration: directly utilize the authentication mechanisms (e.g., cookies/session tokens) already available on the web page, without the need to store additional credentials
- least authority principle (LAP): Developers need to explicitly register each tool and the scope of its permissions
In contrast to traditional AI integration solutions, WebMCP avoids the following common security issues:
- No need to store sensitive information such as API keys on the server
- Does not require users to repeat OAuth authorization
- Does not expand the attack surface of the original system
Developers should take extra care when using it:
- Ensure that the authentication mechanism on the page itself is secure
- Full validation of user input
- Limit tool availability for sensitive operations
This design protects user data and simplifies the security configuration process, making it ideal for application scenarios with high security requirements.
This answer comes from the articleWebMCP: open source tool to run MCP servers in web pagesThe
May not be reproduced without permission:AI productivity tools " What are the advantages of WebMCP in terms of data security and privilege control?
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