Offensive Security Toolkit
Offensive-MCP-AI is a cybersecurity toolkit that provides AI assistants with access to penetration testing and security analysis capabilities. The implementation consists of four specialized servers: a payload generator for creating various attack payloads using tools like msfvenom and Sliver, a reconnaissance server for domain enumeration and DNS analysis, a shellcode builder for compiling and extracting code from binaries, and a Wazuh integration for security monitoring and response. Each server exposes its functionality through the MCP protocol, enabling AI systems to execute security testing commands, analyze alerts, and generate offensive security artifacts in a structured manner, making it particularly useful for red team operations, vulnerability assessment, and security education.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/joasasantos/offensive-mcp-ai
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Offensive Security Toolkit from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.