Flagged: environment access. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vulnersCom · MCP Server · ★ 371
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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🛡️ Vulners Python SDK The official Python client for Vulners — the vulnerability intelligence graph to build on Query CVEs, exploits and advisories enriched with CVSS, EPSS and exploitation status; assess your software, hosts and SBOMs for the vulnerabilities that affect them; and stream the whole graph for your own pipelines — all from a few lines of typed, async-ready Python. SDK documentation · Data models · Get an API key · Vulners.com Why Vulners? Vulners aggregates 230+ sources — CVEs, exploits, vendor advisories, CISA KEV, EPSS and AI risk scores — into
| Stars | 371 |
| Forks | 65 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.9423735407052/100 |
| Last Updated | 2026-09-04 |
| Created | 2017-09-07 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~16k |
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api is Official Python SDK for the Vulners vulnerability-intelligence API — search CVEs, exploits and advisories (CVSS/EPSS/KEV), audit software, Linux/Windows hosts and SBOMs, and stream the whole graph. Ty. It is categorized as a MCP Server with 371 GitHub stars.
api is primarily written in Python. It covers topics such as api-client, asyncio, cve.
You can find installation instructions and usage details in the api GitHub repository at github.com/vulnersCom/api. The project has 371 stars and 65 forks, indicating an active community.
api is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to api on Agent Skills Hub include cve-mcp-server, agent-audit, medusa. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: