Ghost MCP Server
A Model Context Protocol server that enables management of Ghost blog content (posts, pages, and tags) through the Ghost Admin API with SSE transport support.
README
Ghost MCP Server with SSE Transport
This repository contains a Model Context Protocol (MCP) server implementation for the Ghost blogging platform with Server-Sent Events (SSE) transport support.
Features
- Supports both SSE and stdio transports
- Provides access to Ghost Admin API functionality through MCP tools
- Manage Ghost blog posts, pages, and tags
- Secure by default with non-root user in Docker
- Environment variable configuration
- Health check endpoint
Quick Start
Environment Setup
-
Copy the example environment file:
cp .env.example .env -
Edit the
.envfile with your Ghost API credentials:GHOST_URL=https://your-ghost-blog.com GHOST_KEY_ID=your_ghost_key_id_here GHOST_KEY_SECRET=your_ghost_key_secret_here PORT=3064 NODE_ENV=production
Using Docker Compose
The easiest way to run the server is with Docker Compose:
docker-compose up -d
This will build the image if needed and start the server in detached mode.
Using Docker Directly
You can also build and run the Docker image directly:
# Build the image
docker build -t oculair/ghost-mcp:1.0.0 .
# Run the container
docker run -p 3064:3064 --env-file .env --rm -it oculair/ghost-mcp:1.0.0
Multi-Architecture Build
To build for multiple architectures (amd64 and arm64):
-
Enable Docker Buildx:
docker buildx create --use --name multiarch-builder docker buildx inspect --bootstrap -
Build and push:
docker buildx build --platform linux/amd64,linux/arm64 \ -t oculair/ghost-mcp:1.0.0 \ --push . -
Verify the multi-architecture image:
docker manifest inspect oculair/ghost-mcp:1.0.0
Development
Project Structure
.
├── everything/
│ ├── src/
│ │ ├── core/ # Core server implementation
│ │ ├── tools/ # MCP tool implementations
│ │ ├── transports/ # Transport implementations (SSE, stdio)
│ │ └── index.js # Main entry point
│ └── package.json # Node.js dependencies
├── .env.example # Example environment variables
├── .gitignore # Git ignore file
├── compose.yaml # Docker Compose configuration
├── Dockerfile # Docker build configuration
└── README.md # This file
Available Tools
The server provides the following MCP tools:
- Posts:
create_ghost_post,list_ghost_posts,update_ghost_post,delete_ghost_post - Pages:
create_ghost_page,list_ghost_pages,update_ghost_page,delete_ghost_page - Tags:
create_ghost_tag,update_ghost_tag
For detailed information about each tool and its parameters, see the everything/README.md file.
Debugging
To debug the container, you can run it with an interactive shell:
docker run -p 3064:3064 --env-file .env --rm -it --entrypoint bash oculair/ghost-mcp:1.0.0
Usage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"ghost": {
"url": "http://localhost:3064/sse",
"disabled": false,
"alwaysAllow": []
}
}
}
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.