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:
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:
VIDEO
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:
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:
VIDEO
3️⃣ MCP-powered financial analyst
Build an MCP-powered AI agent that fetches, analyzes & generates insights on stock market trends, right from Cursor or Claude Desktop.
Full walkthrough:
Build an MCP-powered AI agent that fetches, analyzes & generates insights on stock market trends, right from Cursor or Claude Desktop.
Full walkthrough:
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4️⃣ A unified MCP server
This project builds an MCP server to query and chat with over 200+ data sources using natural language through a unified interface powered by MindsDB and Cursor IDE.
Full walkthrough:
This project builds an MCP server to query and chat with over 200+ data sources using natural language through a unified interface powered by MindsDB and Cursor IDE.
Full walkthrough:
VIDEO
5️⃣ MCP-powered RAG over complex docs
Learn how to use MCP to power an RAG app over complex documents with tables, charts, images, complex layouts, and whatnot.
Full walkthrough:
Learn how to use MCP to power an RAG app over complex documents with tables, charts, images, complex layouts, and whatnot.
Full walkthrough:
VIDEO
6️⃣ MCP-powered synthetic data generator
Learn how to build an MCP server that can generate any type of synthetic dataset. It uses Cursor as the MCP host and SDV to generate realistic tabular synthetic data.
Full walkthrough:
Learn how to build an MCP server that can generate any type of synthetic dataset. It uses Cursor as the MCP host and SDV to generate realistic tabular synthetic data.
Full walkthrough:
VIDEO
7️⃣ MCP-powered deep researcher
ChatGPT has a deep research feature. It helps you get detailed insights on any topic. Learn how you can build a 100% local alternative to it.
Full walkthrough:
ChatGPT has a deep research feature. It helps you get detailed insights on any topic. Learn how you can build a 100% local alternative to it.
Full walkthrough:
VIDEO
This graphic summarises all the projects covered here.
You can also watch them in my YouTube playlist:
youtube.com/watch?v=XMVzT8…
You can also watch them in my YouTube playlist:
youtube.com/watch?v=XMVzT8…
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!
Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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