# Anthropic-Cybersecurity-Skills MCP Client: 754 AI Agent Skills for Security

> The Anthropic-Cybersecurity-Skills MCP Client provides 754 structured cybersecurity skills for AI agents, mapped across five major security frameworks. Developers can integrate this Python-based client to equip AI agents with specialized security knowledge for platforms like Claude Code and GitHub Copilot.

**Published:** 2026-08-20T12:00:25.37+00:00

**Keywords:** anthropic-cybersecurity-skills,mcp-client,ai-security-skills,cybersecurity-frameworks

# Anthropic-Cybersecurity-Skills MCP Client: Equipping AI Agents with Security Expertise

The Anthropic-Cybersecurity-Skills MCP Client, a Python-based project with over 29,000 GitHub stars, delivers a library of 754 structured cybersecurity skills specifically designed for AI agents. This client provides a standardized way to integrate deep security knowledge into AI-powered development tools and platforms, leveraging the agentskills.io standard.

## Structured Cybersecurity Skills for AI Agents

This MCP Client's core offering is its extensive library of 754 cybersecurity skills. These skills are not generic; they are structured and mapped to five industry-standard frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF. This mapping ensures that AI agents can operate within recognized security contexts, whether for threat detection, incident response, or compliance. The skills cover 26 distinct security domains, providing a broad base of knowledge.

## Broad Platform Compatibility

The Anthropic-Cybersecurity-Skills client is designed for wide compatibility, working with over 20 platforms. This includes prominent AI development environments and tools such as Claude Code, GitHub Copilot, Codex CLI, Cursor, and Gemini CLI. This broad support means developers can integrate these specialized cybersecurity skills into their existing AI workflows and agent deployments, regardless of their chosen platform.

## A Standardized Approach with agentskills.io

The project adheres to the agentskills.io standard. This commitment to a defined standard is crucial for interoperability and consistency when developing and deploying AI agents that require specialized domain knowledge. By using this standard, the client ensures that the structured cybersecurity skills can be consumed and interpreted effectively across various AI agent implementations.

## References
- [Anthropic-Cybersecurity-Skills on GitHub](https://github.com/mukul975/Anthropic-Cybersecurity-Skills)
- [Model Context Protocol Documentation](https://modelcontextprotocol.io/introduction)
- [Anthropic-Cybersecurity-Skills on model-context-protocol.com](https://model-context-protocol.com/clients/)

## Related Repository

- [anthropic-cybersecurity-skills](https://model-context-protocol.com/clients/anthropic-cybersecurity-skills)

**Source:** https://model-context-protocol.com/blog/anthropic-cybersecurity-skills-mcp-client-754-ai-agent-skills-mcp-client-guide