Get Started with MCP Servers: Connect Claude to Hugging Face AI Tools

In this video, you’ll learn how to set up an MCP server to supercharge your workflow by connecting Claude AI to the powerful tools available on Hugging Face. If you're new to Model Context Protocol (MCP), don’t worry we break it down step by step with real-world examples so it’s easy to follow.

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You’ll discover how to:
Understand what an MCP server is and why it’s so useful
Install and run an MCP server for Hugging Face Spaces
Connect Claude AI to tools like Flux image generation and Whisper audio transcription
Use Parler for Text-to-Speech
Properly update your Claude config file so the new tools appear
Use AI tools with simple prompts—no coding required
Maintain contextual workflows inside Claude so everything works together smoothly

With thousands of open-source models available on Hugging Face, this setup lets you run tasks like text generation, voice synthesis, transcriptions, and image creation all through Claude, and all with natural language prompts.
This is a practical intro to agentic AI workflows, where tools don’t just run once, they become part of a continuous, smart system that adapts and remembers.

Hugging Face MCP Server: https://github.com/evalstate/mcp-hfsp...

Timestamps
00:00 Introduction
00:34 What’s an MCP server?
04:05 Why is MCP useful?
05:37 Hugging Face MCP
09:31 Installation
15:44 Trying Out Flux for Image Generation
19:51 Adding More Hugging Face Spaces
21:57 Using Whisper to Transcribe Audio file
23:44 Parler Text-To-Speech Tool

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