This week:
5080 new agents scanned
Grade Distribution
Full reportRecently Scanned
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AustinRyan/claude-mcp-tunnel
0xMassi/webclaw
jarvisassistantux/loopsense
trainmyagent/MachineHearts
Enapter/Enapter MCP Server
botwallet-co/BotWallet MCP Server
thijssmudde/AgentReacher
docxi-org/ZS (Zobr Script)
Needs Improvement
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D
D
D
D
D
D
D
D
LorgAI/lorg-mcp-server
com.shorttext/shorttext
com.mathieuberthet/mb-mastering
com.connorgallic/connorgallic
io.github.anderseen-digital/shop-mcp
com.glance/glanceai-fashion
io.github.Patent-PreCheck/patent-precheck
br.com.brasilnfe/fiscal
How AgentGrade Works
AgentGrade scans MCP servers and AI agent endpoints with passive HTTP checks — no authentication attempts, no exploitation. Every agent gets a letter grade from A to F based on 14 security criteria including HTTPS, authentication, CORS configuration, credential exposure, and security headers.
Why MCP Server Security Matters
The Model Context Protocol (MCP) connects AI assistants to external tools and data. A misconfigured MCP server can expose credentials, leak data through CORS misconfigurations, or allow unauthorized access. AgentGrade helps developers and teams verify their agent’s security posture before deployment.