What if you could build your own MCP server and give an AI assistant custom tools to investigate suspicious activity in application logs?
In Video 42 of The Techzeen Production-Grade AI Engineering course, we build and integrate a complete AI Log Detective MCP Server using TypeScript, VS Code, and the Model Context Protocol (MCP).
Instead of just using existing AI tools, we create our own custom tool and connect it to Claude Code, allowing the AI to investigate log data through our MCP server.
What You'll Learn:
What a custom MCP server is and how it works
Setting up a TypeScript MCP server project in VS Code
Using the official @modelcontextprotocol/sdk and Zod validation
Creating a custom analyze_logs MCP tool
Detecting repeated failed logins and suspicious IP addresses
Identifying potential brute-force and password-spraying patterns
Building and testing the MCP server
Connecting the server to Claude Code using stdio transport and .mcp.json
Investigating logs through AI tool calls
Understanding time-window thresholds and secure tool integration
Technologies Used
TypeScript, VS Code, Model Context Protocol (MCP), MCP TypeScript SDK, Zod, and Claude Code.
This is where AI Engineering becomes practical. You move beyond prompting AI and learn how to build custom tools that an AI application can actually use.
Course: AI Engineer 360 | Phase 8: MCP & Secure Tool Ecosystems
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CONNECT & LEARN WITH US
Visit Our Website:
https://www.thetechzeen.com/
Source Code:
https://github.com/farzeen-ali/Custom-MCP.git
Full Playlist (AI ENGINEER 360°):
https://www.youtube.com/playlist?list=PL5OhSdfH4uDtyUmg0r-F5UeQ9sineyE9t
Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Engineer-360
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