AI - Simplest MCP Explanation | Need for Tools, MCP | Multi-Agent Stock Recommendation Project with Code

𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐁𝐫𝐢𝐠𝐡𝐭 𝐃𝐚𝐭𝐚 𝐡𝐞𝐫𝐞 - https://brdta.com/keertipurswani 𝐁𝐫𝐢𝐠𝐡𝐭 𝐃𝐚𝐭𝐚 𝐆𝐢𝐭𝐇𝐮𝐛 - https://github.com/brightdata/brightdata-mcp Code is available here - https://github.com/keertipurswani/MachineLearningTutorials/tree/main/MCP If you have any queries related to Educosys, please reach out to our team at +91 9084249327 Notes are available here - https://educosys.com/course/free-ai-course LangGraph Documentation to create agent - https://langchain-ai.github.io/langgraph/agents/agents LangChain MCP Adapters GitHub - https://github.com/langchain-ai/langchain-mcp-adapters LangGraph Multi-agent Supervisor Documentation - https://langchain-ai.github.io/langgraph/tutorials/multi_agent/agent_supervisor If you appreciate the content and the hard work, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 - https://www.youtube.com/@KeertiPurswani 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞- https://www.educosys.com 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 - https://www.instagram.com/educosys 𝐄𝐝𝐮𝐜𝐨𝐬𝐲𝐬 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/company/98837223 You can also connect with me on- 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/keertipurswani 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦 (for personal, raw and real side of my life) - https://www.instagram.com/keerti.purswani The video contains following parts- 0:00 - Recap 0:35 - Intro 2:02 - Need for Tools 4:50 - How Tools work 9:45 - LangChain Tools Documentation 12:10 - Need for MCP 14:24 - MCP Documentation 19:05 - Examples for Code 20:12 - Bright Data MCP Server 21:26 - LangChain MCP Adapters 22:40 - Code 29:18 - MultiAgent Stock Recommendation System 31:08 - LangGraph Supervisor 33:03 - Code 39:55 - Thank You! #softwaredevelopment #softwareengineer #machinelearningengineer #artificialintelligenceandmachinelearning