MCPRadar Open-Source Tool Scans MCP Servers for AI-Specific Security Risks

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MCPRadar is a newly released open-source security scanner designed to detect vulnerabilities specific to Model Context Protocol (MCP) servers, which connect AI agents to external systems like databases and APIs. A recent academic study of nearly 1,900 MCP servers found general vulnerabilities in roughly 7% and MCP-specific tool poisoning in about 5%, highlighting a gap that traditional scanners fail to address. The tool examines server-exposed tools, prompts, schemas, and dependencies for risks such as prompt injection and over-permissioned configurations that lack conventional CVE identifiers. MCPRadar assigns findings a versioned risk score from 0 to 10, called MRS-v1, while explicitly flagging incomplete scans rather than treating them as clean. A public leaderboard publishes daily reproducible scan results for popular MCP servers, and the project's maintainers acknowledge that its pattern-based detection can produce false positives and is meant to complement, not replace, manual security review.

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