# Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

DevFeed: [Tiny Agents in Python: a MCP-powered agent in ~70 lines of code](<https://devfeed.tech/articles/tiny-agents-in-python-a-mcp-powered-agent-in-70-lines-of-code-7449.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/python-tiny-agents>)

Author: Célina Hanouti; Julien Chaumond; Lucain Pouget; shaun smith

Published: 2025-05-23T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Python](<https://devfeed.tech/topics/python.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Playwright](<https://devfeed.tech/topics/playwright.md>), [gradio](<https://devfeed.tech/topics/gradio.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agents](<https://devfeed.tech/tags/agents.md>), [apis](<https://devfeed.tech/tags/apis.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [browser](<https://devfeed.tech/tags/browser.md>), [cli](<https://devfeed.tech/tags/cli.md>), [gradio](<https://devfeed.tech/tags/gradio.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [python](<https://devfeed.tech/tags/python.md>)

## AI overview

This tutorial introduces tiny-agents, a Python implementation of the Tiny Agents idea that extends a client SDK with MCP client capabilities. It explains how to connect agents to MCP servers, load configurations from the Hugging Face Hub or local paths, and use tools through CLI-driven agents. Examples demonstrate browser automation with Playwright, web search, inference-provider discovery, and image generation through Gradio Spaces.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.