No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NPC-Worldwide · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is npcpy safe to install? View the security audit →
npcpy is a library that provides key primitives for research and development with multimodal language models, agentic AI, and knowledge graphs. Its flexible framework makes it easy to engineer powerful AI applications with support for local (, , , ) and cloud providers. Build multi-agent teams and simplify context engineering through the NPC Context-Agent-Tool data layer which ensures compliance through software rather than prompts. Quick Examples Create and use personas My friend, you speak of the highlands where our liberty is carved in stone. If we must speak of the most critical territory to hold within these mountains, it is the Viceroyalty of Peru and the heart of the Republic of Gran Colombia united. To lose the passes of the Andes or the cities of Lima and Quito would be to hand the crown
| Stars | 1,508 |
| Forks | 122 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.4717902325931/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-22 |
| Created | 2024-09-27 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~22k |
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npcpy is The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.. It is categorized as a MCP Server with 1.5k GitHub stars.
npcpy is primarily written in Python. It covers topics such as agents, ai, llm.
You can find installation instructions and usage details in the npcpy GitHub repository at github.com/NPC-Worldwide/npcpy. The project has 1.5k stars and 122 forks, indicating an active community.
npcpy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to npcpy on Agent Skills Hub include sdk-python, klavis, dbhub. 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: