CrewAI MCP Dev Tutorial Agents

A multi-agent system that generates technical integration tutorials by analyzing real source code, scanning for vulnerabilities, and writing production-quality guides — powered by CrewAI, Google Gemini, and 11 production MCP servers from the Vinkius AI Gateway.

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Why Most Developer Tutorials Fail

Developers constantly search for integration guides — "How to integrate Stripe with Supabase in Next.js", "Connect Redis to FastAPI with Docker", "Set up Sentry in a Django project". These long-tail technical queries have low competition but attract highly qualified traffic: developers actively building something.

The problem is that most tutorials available today are written against outdated versions, use deprecated packages, skip error handling, and omit critical configuration steps. The author wrote the guide six months ago, the SDK had a breaking change in v3.2, and now hundreds of developers are hitting the same cryptic error on step 7.

This project takes a fundamentally different approach. Instead of writing from memory, three AI agents read the actual source code from GitHub, validate every dependency against vulnerability databases, and then write the tutorial with verified, current code. The critical enabler is the Model Context Protocol (MCP) — an open standard that gives AI agents direct access to developer platforms through a unified interface.

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How It Works

The system operates as a sequential pipeline of three specialized agents, each connected to MCP servers hosted on the Vinkius AI Gateway.

Phase 1 — Source Code Analysis

The first agent acts as a senior engineer performing a code review of the integration. It connects to four MCP servers:

• **GitH