A security scan of 9,248 Model Context Protocol (MCP) servers revealed several concerning practices among developers. Approximately 0.33% of servers attempted to access sensitive files like .env, AWS credentials, or SSH keys, while 11% exhibited undocumented outbound network activity, including connections to unfamiliar Cloudflare R2 hosts. Additionally, 23% of servers declared tools that were not implemented in their code, and a small fraction (4 servers) attempted prompt injection attacks against the scanning tool itself. AI
IMPACT Highlights potential security risks in AI agent implementations, urging developers to audit their server configurations and tool declarations.
RANK_REASON The item details findings from a security scan of a specific protocol (MCP) and its associated servers, including specific metrics and types of vulnerabilities.
- Cloudflare
- Cloudflare 1.1.1.1
- DeepSeek R2
- GitHub
- Google 8.8.8.8
- gVisor
- MCP
- OpenAI
- OWASP
- Semgrep
- Stripe
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →