Detecting Anomalous Authentication Patterns
by 26zl · development · python, go, node, azure, skill
'Detects anomalous authentication patterns using UEBA analytics, statistical
Source: https://github.com/26zl/cybersec-toolkit
Install
git clone https://github.com/26zl/cybersec-toolkitTags: python, go, node, azure, skill
⭐ 12 GitHub stars · Source: skillsdirectory
About development MCP servers and Claude skills
development MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Detecting Anomalous Authentication Patterns is one of hundreds of development entries indexed on Skiln. Browse the full development category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Detecting Anomalous Authentication Patterns?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Detecting Anomalous Authentication Patterns?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Detecting Anomalous Authentication Patterns free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.