Risky Business AI
This MCP server provides cybersecurity vulnerability assessment tools for SOC teams and security analysts, built by khizar-anjum using Python with FastMCP and integrating GitHub, NIST NVD, and CISA's Known Exploited Vulnerabilities catalog. The implementation automates the manual process of determining CVE exploitability by orchestrating multiple security data sources through specialized tools for searching GitHub repositories for proof-of-concept exploits, retrieving official CVE details with CVSS scores and affected products, and cross-referencing against CISA's KEV catalog to identify actively exploited vulnerabilities. Features include asset inventory integration for impact assessment, voice briefing capabilities with ElevenLabs TTS integration, and comprehensive error handling with fallback mechanisms, making it valuable for threat intelligence gathering, vulnerability prioritization, and automated security assessments that help organizations understand which CVEs pose immediate risks to their infrastructure.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/khizar-anjum/risky-business-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Risky Business AI 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.