MCP is going crazy viral right now🤯 AI apps can now instantly...

AI apps can now instantly connect to any tool or live data.
USB-C moment for AI.
10 wild examples:
Claude can talk directly to Blender to generate 3D scenes from images or just prompt

Here’s a demo of me creating a “low-poly dragon guarding treasure” scene in just a few sentences👇
AI assistants can now do real-time web searches for you.

We've built an MCP server for Sonar, giving AI assistants real-time, web search research capabilities.
Powered by Perplexity, Claude can now search the web and deliver real-time and accurate insights on demand.
Claude can now "vibe mapping" by using QGIS (open source mapping tool) directly

So, my friends, I present to you "MCP QGIS," which gives Claude access to use QGIS directly!
The era of "vibe mapping" begins. See how it works:
#QGIS #AI
Clone any website with prompt from Claude

Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you.
Here’s how:

It lets you integrate academic databases with LLMs.
But most academics don't know about it.
Here's how to connect Claude with PubMed using MCP (in less than 15 min):

a proof of concept for implementing a Model Context Protocol (MCP) client using Gradio. It demonstrates how to interact with MCP servers using both STDIO and SSE communication methods within a Gradio interface.
The Model Context Protocol (MCP) aims to standardize the interaction between language models and tools, providing a uniform interface for communication. This proof of concept showcases the practical application of MCP in building AI assistants with tool integration.
Play sound notification after each tasks

And launched it locally.
This MCP makes Cursor play sound notification after each task
Now you can scroll X while waiting and never miss when it's done.
Let's go👇
Connect to Weaviate's vector search capabilities

You can now connect your MCP host to Weaviate’s vector search capabilities!
The Model Context Protocol (MCP) introduced by @AnthropicAI is a proposal to standardize AI interfaces.
AI models need context from external knowledge sources to produce accurate responses.
But with a growing pool of context sources, the interfaces can get messy and complex quickly.
The MCP aims to solve this by creating a consistent method for providing context to AI models.
You can now integrate Weaviate’s vector search capabilities through a Weaviate MCP server for Claude Desktop.
Check out the repo:
github.com/weaviate/mcp-s…
Easily create code from your Figma designs

It's not perfect, but the resulting HTML and CSS is a lot cleaner than giving AI a screenshot and having it guess.
Link in the replies, take it for a spin and let me know what you think!
Follow me @minchoi and please Bookmark, Like, Comment & Repost the first Post below to share with your friends:
x.com/minchoi/status…



