npcpy MCP Server
NPC-Worldwide/npcpy
[](https://agentrank-ai.com/tool/NPC-Worldwide--npcpy/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
NPC-Worldwide/npcpy is a Python tool licensed under MIT. The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more. Topics: agents, ai, llm, python, sql, yaml, ollama, perplexity, mcp, mcp-client, mcp-server.
Ranked #1830 out of 24846 indexed tools.
In the top 8% of all indexed tools.
Has 1,515 GitHub stars.
Has 26 contributors.
Ecosystem
Score Breakdown
1,515 stars → well-known project
Last commit 29d ago → recently updated
80/86 issues closed → responsive maintainer
26 contributors → active community
6 dependents → few downstream users
516 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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[](https://agentrank-ai.com/tool/NPC-Worldwide--npcpy/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/NPC-Worldwide--npcpy/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/NPC-Worldwide--npcpy" alt="AgentRank"></a> Matched Queries
From the README
<p align="center">
<a href="https://npcpy.readthedocs.io/">
</a>
</p>
# npcpy
<p align="center">
<a href="https://github.com/NPC-Worldwide/npcpy/blob/main/LICENSE"></a>
<a href="https://pypi.org/project/npcpy/"></a>
<a href="https://npcpy.readthedocs.io/"></a>
</p>
`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 (`ollama`, `llama.cpp`, `omlx`, `LM Studio`) 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.
```bash
pip install npcpy
```
## Quick Examples
### Create and use personas
```python
from npcpy import NPC
simon = NPC(
name='Simon Bolivar',
primary_directive='''
Liberate South America
fr Read full README on GitHub → Get the weekly AgentRank digest
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