Share this page!

Enter URL or ID to Unroll

You can paste full URL like: https://x.com/threadreaderapp/status/1644127596119195649
or just the ID like: 1644127596119195649

How to get URL link on X (Twitter) App

  1. On the Twitter thread, click on or icon on the bottom
  2. Click again on or Share Via icon
  3. Click on Copy Link to Tweet
  4. Paste it above and click "Unroll Thread"!
  5. More info at Twitter Help
Akshay 🚀 Profile picture
@akshay_pachaar
Jul 11 • 12 tweets • 4 min read • Read on X
Scrolly
MCP is on fire.

AI agents can now talk to real world tools, apps and actually get stuff done.

This changes everything.

Here are 10 amazing examples:
1️⃣ WhatsApp MCP

Exchange images, videos, and voice notes on WhatsApp!

Pair it with the ElevenLabs MCP server for AI-powered transcription & audio messages with 3,000+ voices.

Check this out👇
2️⃣ MCP-powered Agentic RAG

I created this server for Cursor and lets it perform deep web searches, as well as RAG over a specified directory.

Everything from the comforts of your IDE:
3️⃣ Ableton MCP

Create music with just prompts:
4️⃣ Figma MCP

Talk directly with Figma to craft sleek, modern login screens for mobile devices.
5️⃣ GroundX MCP Server

I created this server to process any complex real-world documents and make the knowledge accessible in Cursor IDE.

Powered by @eyelevelai's GroundX, it can understand text, images, diagrams and flowcharts.
6️⃣ ElevenLabs MCP server.

Give Claude and Cursor access to the entire ElevenLabs AI audio platform via simple text prompts.

You can even spin up voice agents to perform outbound calls for you — like ordering pizza.
7️⃣ Effortless website cloning

@Firecrawl_dev's MCP server can make things like website cloning effortless in your editor of choice 🔥

Just drop any site into Cursor and watch Claude visit the site and clone it for you.
8️⃣ Supabase MCP

Supabase MCP Server allows you to read and write to your database, create new projects, and more, right from your favorite AI tools!

Check this out👇
9️⃣ @BrowserbaseHQ's MCP Server

This server lets agents mimic human-like browsing using headless browsers.

You can order food, book hotels or flights, and do anything else you can imagine.

Check this out👇
github.com/browserbase/mc…Image
🔟 FastAPI MCP server

A zero-config tool for automatically convert FastAPI endpoints as MCP tools and use them with Clause, Cursor or any MCP client

100% open-source.
If you found it insightful, reshare with your network.

Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

Check my illustrated MCP explainer:

• • •

Missing some Tweet in this thread? You can try to force a refresh
　

Keep Current with Akshay 🚀

Akshay 🚀 Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @akshay_pachaar

Akshay 🚀 Profile picture
Jul 12
A Crash Course on Building AI Agents!

Here's what it covers:

- What is an AI agent
- Connecting agents to tools
- Overview of MCP
- Replacing tools with MCP servers
- Setting up observability and tracing

All with 100% open-source tools!
This course builds agents based on the following definition:

An AI agent uses an LLM as its brain, has memory to retain context, and can take real-world actions through tools, like browsing web, running code, etc.

In short, it thinks, remembers, and acts.
100% open-source tech stack:

- @crewAIInc for building MCP ready agents
- @zep_ai Graphiti to add human like memory
- @Cometml Opik for observability and tracing.

You can find the entire code here: github.com/patchy631/ai-e…
Read 5 tweets
Akshay 🚀 Profile picture
Jul 10
90% of Python programmers don't know these 11 ways to declare type hints:
Type hints are incredibly valuable for improving code quality and maintainability.

Today, I'll walk you through 11 must-know principles to declare type hints in just two minutes.

Let's begin! 🚀 Image
1️⃣ Type hints for standard Python objects:

The most basic (and must-know) way to declare type hints for standard Python objects is as follows👇 Image
Read 15 tweets
Akshay 🚀 Profile picture
Jul 7
Temperature in LLMs, clearly explained (with code):
Let's prompt OpenAI GPT-3.5 with a low temperature value twice.

It produces identical responses from the LLM.

Check the response below👇 Image
Now, let's prompt it with a high temperature value.

This time, it produces a gibberish output. Check the output below👇

What is going on here? Let's dive in! Image
Read 9 tweets
Akshay 🚀 Profile picture
Jul 3
7 MCP projects for AI Engineers (with video tutorials):
1️⃣ MCP meets Ollama

An MCP client is a component in an AI app (like Cursor) that establishes connections to external tools.

Learn how to build it 100% locally.

Full walkthrough:
2️⃣ MCP-powered shared memory for Claude Desktop and Cursor

Devs use Claude Desktop and Cursor independently.

Learn how to add a knowledge graph based common memory layer to cross-operate without losing context.

Full walkthrough:
Read 10 tweets
Akshay 🚀 Profile picture
Jun 28
I have tested 100+ MCP servers in the last 3 months!

Here are 6 must-use MCP servers for all developers (open-source):
1️⃣ Graphiti MCP server

Agents forget everything after each task.

Graphiti MCP server lets Agents build and query temporally-aware knowledge graphs, which act as an Agent's memory!

Check this👇
2️⃣ Opik MCP server

This enables traceability into AI Agents and lets you monitor your LLM applications, by @Cometml.

Tools include:
- Creating projects
- Enable tracing
- Getting tracing stats

Check this demo👇
Read 9 tweets
Akshay 🚀 Profile picture
Jun 25
Let's generate our own LLM fine-tuning dataset (100% local):
Before we begin, here's what we're doing today!

We'll cover:
- What is instruction fine-tuning?
- Why is it important for LLMs?

Finally, we'll create our own instruction fine-tuning dataset.

Let's dive in!
Once an LLM has been pre-trained, it simply continues the sentence as if it is one long text in a book or an article.

For instance, check this to understand how a pre-trained LLM behaves when prompted 👇 Image
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

Send Email!

:(