Marketing Brain
Provides standardized brand guidelines and structured content templates for marketing assets like blogs, emails, and social media. It serves as a central source of truth for brand voice and strategy through an extensible file-based system.
README
Marketing Brain MCP Server
A lightweight Model Context Protocol (MCP) server that acts as a "Marketing Brain," providing standardized brand guidelines and content templates.
Features
- Brand Voice Source of Truth: Exposes the core brand guidelines (Voice, Audience, Constraints) through a simple tool.
- Content Templates: Provides structured templates for common marketing assets (Blog, Email, Social).
- Extensible Design: Uses a file-based system. Add or edit Markdown files in the
data/directory to update strategies or add new ones without changing the code. - SSE Support: Ready for cloud deployment via Server-Sent Events (SSE).
Tools
get_content_strategy
Returns the brand guidelines combined with a specific asset template.
- Input:
asset_type(str) - e.g.,blog,email,social.
Project Structure
server.py: The FastMCP server application.data/brand_guidelines.md: The global brand identity.data/templates/: Folder containing individual template files (one.mdfile per template).
Installation & Usage
1. Cloud Deployment (Remote)
The server is optimized for deployment on platforms like Railway or Render.
Once deployed, you can connect your MCP client (like Claude Desktop) using the SSE endpoint:
{
"mcpServers": {
"marketing-brain": {
"url": "https://marketing-brain-mcp.railway.app/sse"
}
}
}
2. Local Development
Prerequisites
- Python 3.10+
pip install fastmcp
Running Locally (Stdio)
For local testing in your AI assistant:
fastmcp run server.py
Development Inspector
To test the tools in a web interface:
fastmcp dev server.py
3. Smithery
You can also install this server using the Smithery CLI:
npx -y @smithery/cli install github.com/Felipe-Cal/marketing-brain-mcp --client claude
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.