A new, free tool called J-Dawgs Agent Safety Score has been developed to evaluate the security of Model Context Protocol (MCP) configurations. This tool analyzes configurations for 15 common vulnerabilities, such as shell execution, plaintext secrets, and wildcard permissions, assigning a score out of 100. When tested against official examples from the MCP servers repository, including configurations for Claude Desktop and remote VS Code access, the tool identified vulnerabilities like unpinned packages, resulting in scores of 92/100 for some official examples, while a deliberately dangerous configuration scored 3/100 and a hardened one scored 100/100. The safety grader operates entirely within the user's browser, ensuring that no configuration data is uploaded or shared. AI
IMPACT Enhances security practices for AI agent configurations, potentially reducing risks associated with unauthorized access and data breaches.
RANK_REASON The item describes a new tool for evaluating configuration safety, not a core AI model release or research.
- Claude Desktop
- GitHub MCP Server
- J-Dawgs Agent Safety Score
- MCP
- mcp-server-fetch
- mcp-server-git
- MCP servers repo
- @modelcontextprotocol/server-filesystem
- @modelcontextprotocol/server-memory
- Visual Studio Code
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →