文章摘要
The Model Context Protocol (MCP), central to AI assistant tool integration, faces significant security vulnerabilities in its current implementations.
- Many MCP implementations lack robust authentication and authorization mechanisms, creating avenues for unauthorized access or actions.
- The protocol neglects data integrity checks and encryption for context passing, risking data tampering during exchange.
- Key security events related to tool invocation and data access often lack proper auditing and logging capabilities.
- These flaws pose significant risks for AI assistants interacting with sensitive data or executing transactions, necessitating urgent security updates from MCP specification maintainers and implementers.