9 MCP projects for AI Engineers
(explained with visuals & open-source code) 1️⃣ 100% local MCP client - 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: https://lnkd.in/gtaEGvFZ
1. 100% local MCP client
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.
2. MCP-powered Agentic RAG
- Learn how to create an MCP-powered Agentic RAG that searches a vector database and falls back to web search if needed.
3. 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.
4. MCP-powered Voice Agent
This project teaches you how to build an MCP-driven voice Agent that queries a database and falls back to web search if needed.
5. 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.
6. MCP-powered shared memory for Claude Desktop and Cursor
Devs use Claude Desktop and Cursor independently with no context sharing. Learn how to add a common memory layer to cross-operate without losing context.
7. 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.
8. 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.
9. 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.