brand-voice-blog-post-mcp

Enterprise Brand Voice Blog Post Generator with MCP

An enterprise-grade blog post generator using Model Context Protocol (MCP) integration. This agent generates high-quality, SEO-optimized blog posts with customizable brand voice profiles.

Features

• MCP Integration: Utilizes the Model Context Protocol for standardized AI tool interactions
• Brand Voice Customization: Supports multiple brand voice profiles (technical, conversational, thought leadership)
• Research Capabilities: Automatically researches company information and competitors
• SEO Optimization: Generates content optimized for search engines
• Production-Ready Output: Produces HTML or Markdown formatted blog posts

Components

• MCP Server: Powers the communication between the agent and external tools
• Blog Post Controller: Manages the blog post generation workflow
• Brand Voice Profiles: Customizable templates for different writing styles
• Direct Integration: Simple interface for generating blog posts with custom parameters

Usage

Basic Usage

python run_blog_post_with_brand_voice.py --company-name "Company Name" --company-website "https://company.com" --blog-title "Blog Title" --voice technical

Available Brand Voice Profiles

• technical: Precise and factual language with technical details and terminology
• conversational: Friendly, approachable tone with relatable examples
• thought_leadership: Visionary, forward-thinking language with intellectual depth

Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up your Gemini API key in the .env file:

   GEMINI_API_KEY=your-api-key-here
   

Example Output

The system generates blog posts like this example, which demonstrates the technical brand voice profile applied to content about managing hallucinations in customer service chatbots.

Requirements

• Python 3.8+
• Gemini API key
• MCP library

License

MIT License