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🔰 5 MCP projects for AI engineers (with code):
➡️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.
GitHub → https://github.com/patchy631/ai-engineering-hub/tree/main/llamaindex-mcp
➡️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 what not.
GitHub → https://github.com/patchy631/ai-engineering-hub/tree/main/eyelevel-mcp-rag
➡️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.
GitHub → https://github.com/patchy631/ai-engineering-hub/tree/main/financial-analyst-deepseek
➡️ 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.
GitHub → https://github.com/patchy631/ai-engineering-hub/tree/main/mindsdb-mcp
➡️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.
GitHub → https://github.com/patchy631/ai-engineering-hub/tree/main/sdv-mcp
#هوش_مصنوعی
📣👨💻 @AlgorithmDesign_DataStructuer
BY Algorithm design & data structure
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