FastMCP Quickstart: Build Remote MCP Servers w/ Python

Greg Baugues · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

Builds a remote MCP server using FastMCP and Python

Original Description

Find the code here: https://haihai.ai/fastmcp Anthropic just announced Claude Integrations aka Remote MCP Server support. This is a big deal. Even though MCP servers have been utltra-hyped, their adoption was limited by: 1. Only a few clients supported MCP, notably Claude Desktop and Cursor. MCP servers were not supported in the web version of Claude. 2. Claude Desktop only supported local MCP servers, and you sort of needed to be a developer to install and run those. Now Claude web users* can use remote MCP servers, which means you just need a URL to equip your LLM with new tools and capabilities. It's super easy to build your own Remote MCP server using Python and FastMCP. In this video I'll show you how. --- * Anthropic is launched Claude Integrations to Max and Enterprise plans first, and will be rolling it out to Pro users soon.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Building LSTMs with PyTorch and Lightning AI Part 7: Resuming Training with Checkpoints
Learn to resume LSTM training with checkpoints using PyTorch and Lightning AI, enabling efficient model iteration and development
Dev.to · Rijul Rajesh
How AI Learns with Less Labeled Data
Learn how AI can learn with less labeled data, a crucial aspect of machine learning beyond model selection
Medium · AI
Comparing Sarvam-30B and Qwen2.5–14B on Spider Text-to-SQL: An Active-Parameter Perspective
Learn how to compare large language models like Sarvam-30B and Qwen2.5-14B on the Spider Text-to-SQL benchmark from an active-parameter perspective
Medium · LLM
Debugging Benchmark: DeepSeek V4 Pro vs MiMo V2.5 Pro
Compare the debugging capabilities of DeepSeek V4 Pro and MiMo V2.5 Pro on a real-world GitHub bug
Dev.to · Stanislav
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →