Discover how Ghost MCP Server enables programmatic management of posts, pages, members, and images in Ghost CMS
Ghost MCP Server is an advanced integration bridge that enables AI applications such as Claude Desktop, Continue, Cursor, and others to interact with a Ghost Content Management System (CMS) through the Model Context Protocol (MCP). By leveraging MCP, this server transforms how AI applications can access and manipulate content within Ghost CMS, opening up new possibilities for dynamic and intelligent content management.
Ghost MCP Server provides a robust set of features that empower developers to build sophisticated integrations with Ghost CMS through MCP. Key capabilities include:
Organize content with structured metadata tags, ensuring that posts and pages are indexed correctly for easy retrieval and categorization.
Handle user roles within Ghost CMS, allowing for granular permission settings tailored to individual users or groups.
Enable seamless image uploads directly into Ghost CMS, enhancing content with rich media assets effortlessly.
The integration between Ghost MCP Server and AI applications is achieved through a series of well-defined protocol steps. This ensures that data flows smoothly and securely between the client application and the server. The core implementation involves:
# macOS/Linux
export GHOST_URL="https://your-ghost-blog.com"
export GHOST_ADMIN_API_KEY="your_admin_api_key"
# Windows (PowerShell)
$env:GHOST_URL="https://your-ghost-blog.com"
$env:GHOST_ADMIN_API_KEY="your_admin_api_key"
To get started, install the package via npm:
npm install @mtane0412/ghost-mcp-server
Installation:
Environment Configuration:
Starting the Server:
npx
command.An AI-powered content generation tool can use this server to create, update, and delete posts on a Ghost CMS instance dynamically. This enhances real-time interaction with the platform, making it a powerful resource for continuous content updates.
AI applications can engage with Ghost members through personalized communications or dynamic page creation. By integrating member management features, these applications can tailor their interactions to individual user preferences and behaviors.
Ghost MCP Server supports a range of AI clients including:
MCP clients and servers are not one-size-fits-all. Below is a compatibility matrix detailing the status of support for various AI applications:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
Advanced users can customize the behavior of Ghost MCP Server by adjusting environment variables and security settings. A sample configuration snippet follows:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Ensure that all configurations adhere to best security practices, particularly when handling API keys and sensitive information.
Q: How does Ghost MCP Server ensure data integrity during post management?
Q: Can multiple MCP clients interact with the same Ghost CMS instance simultaneously?
Q: Is there a specific version requirement for Node.js to install and run Ghost MCP Server successfully?
Q: How does this server handle image uploads, and what are the limitations?
Q: What is the impact of MCP server downtime on AI applications relying upon it?
For developers looking to expand the capabilities of Ghost MCP Server, contributions are welcome! Contributions should adhere to clear coding standards and thorough testing before submission. Issues and pull requests must be relevant and well-documented.
Explore more about the Model Context Protocol (MCP) and its ecosystem at:
By integrating Ghost MCP Server into AI workflows, developers can create innovative solutions that harness the power of dynamic content management.
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