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✍️ Multi-Agent Content Creation & Publishing Workflow

Orchestrate multiple AI agents to research, write, edit, and publish content across platforms using MCP servers for social media and CMS integration.

⏱ 40 minutes Intermediate

🛠️ Tools Used in This Workflow

CrewAI AI Agent Brave Search MCP MCP Server BlogBurst MCP MCP Server

📝 Step-by-Step Guide

Step 1: Define Agent Roles

Create three specialized agents in CrewAI: (1) Researcher — uses Brave Search MCP to find trending topics, competitor content, and data points. (2) Writer — crafts long-form articles with SEO optimization. (3) Editor — reviews for quality, fact-checks claims, and optimizes readability.

Step 2: Set Up the Research Phase

The Researcher agent searches for trending topics in your niche, analyzes top-ranking content, identifies content gaps, and compiles a research brief. Include competitor analysis and keyword suggestions for the Writer.

Step 3: Configure the Writing Pipeline

The Writer receives the research brief and produces a draft following your style guide. It structures content with H2/H3 headings, includes data-backed claims, and writes meta descriptions. Target 2000+ words for comprehensive coverage.

Step 4: Implement Quality Review

The Editor agent checks for: factual accuracy (cross-referencing sources), readability (Flesch-Kincaid score), SEO optimization (keyword density, internal links), and brand voice consistency. It outputs a final polished version.

Step 5: Automate Multi-Platform Publishing

Use BlogBurst MCP to distribute content: full article to your blog, condensed thread to Twitter/X, professional summary to LinkedIn, and key insights to newsletter. Each platform gets format-appropriate content.

💡 Use Cases

  • Marketing teams scaling content production
  • Solopreneurs maintaining consistent publishing schedules
  • Agencies managing multiple client content calendars

🔗 Related Tools

Autogpt Microsoft Autogen Kunalluniatwitter Mcp Timkulbaevmcp Linkedin

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