Proximity is an open-source tool designed for scanning Model Context Protocol (MCP) servers, identifying accessible prompts, tools, and resources. Developed by Thomas Roccia, this tool evaluates potential security risks like prompt injection and data exfiltration, which have become crucial as MCP’s adoption has surged globally. Proximity works alongside NOVA, a rule engine that enables analysts to create pattern-based rules for detecting harmful content. This combination helps security teams assess MCP servers effectively before deployment. By probing both local and remote servers, Proximity reveals exposed details that attackers could exploit, enhancing the security of AI environments. The tool is part of a broader initiative to equip security professionals with ongoing analysis capabilities as AI technologies evolve. Proximity is readily available for download on GitHub, making it a vital resource for enhancing cybersecurity in the emerging AI landscape. Keep abreast of essential cybersecurity tools by subscribing to the Help Net Security newsletter.
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