Npcpy
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
by NPC-Worldwide · NPC-Worldwide/npcpy
Install
See GitHub repository for installation instructions.
How to use Npcpy with Claude
Npcpy is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to ai & ml capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Npcpy will appear in the available tools list
About Npcpy
Npcpy is an open-source MCP server in the AI & ML category, built in Python. It connects Claude and other MCP-compatible clients to ai & ml systems directly. Source available on GitHub.
Use cases for AI & ML MCP servers
- →Chain AI models and pipelines from a single interface
- →Query model outputs and fine-tuning runs programmatically
- →Automate eval pipelines and benchmark comparisons
- →Connect AI agents to specialized ML infrastructure
Where Npcpy fits in an MCP workflow
Teams use Npcpy to give Claude a direct bridge into ai & ml workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Npcpy can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to ai & ml systems.
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