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title: Best Hugging Face posts — May 2025 | daily.dev
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# Best of Hugging Face — May 2025

1. 1  
[](https://daily.dev/posts/tiny-agents-in-python-a-mcp-powered-agent-in-70-lines-of-code-a67f82qpc "Tiny Agents in Python: a MCP-powered agent in ~70 lines of code")  
Article  
![Avatar of huggingface](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f1f55c67d81a4330acf5b90b26b0c8e1)Hugging Face · 1y  
Tiny Agents in Python: a MCP-powered agent in \~70 lines of code  
The post introduces a method to create MCP-powered agents in Python, highlighting a simplified setup for integrating external tools with large language models (LLMs). By using the Model Context Protocol (MCP), these agents can easily interact with various tools without custom integration. The guide details the setup and execution of such agents using the huggingface\_hub, showcasing potential use cases and possible configurations. It emphasizes the role of the MCPClient in facilitating asynchronous connections to MCP servers, tool discovery, and execution.  
212  
1
2. 2  
[](https://daily.dev/posts/the-transformers-library-standardizing-model-definitions-rtr3wkwqn "The Transformers Library: standardizing model definitions")  
Article  
![Avatar of huggingface](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/f1f55c67d81a4330acf5b90b26b0c8e1)Hugging Face · 1y  
The Transformers Library: standardizing model definitions  
The Transformers library aims to be the central hub for model architectures across various frameworks, supporting over 300 models with consistent updates. It integrates with major training frameworks and inference engines, offering significant interoperability and efficiency. Efforts are underway to simplify model definitions and contributions to reduce complexity for model creators, enhancing ecosystem standardization.  
12

[See all Hugging Face archives](/sources/huggingface/best-of)

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