Ghost MCP Server is a Model Context Protocol (MCP) server that integrates with the Ghost Admin API, enabling programmatic access to Ghost CMS features such as post management, page management, member management, and more. It supports functionalities like creating, reading, updating, and deleting posts/pages, managing tags and authors, uploading images, and searching posts or members.
Ghost MCP Server provides developers with an efficient way to interact programmatically with Ghost CMS through its Admin API. It simplifies tasks such as content management (posts/pages), member handling, image uploads, and more by offering structured tools and commands, making it ideal for automation or integration into larger systems.
Developers working on projects involving Ghost CMS, system integrators looking to automate workflows within Ghost, and technical users who want to manage their Ghost instance programmatically would benefit from using Ghost MCP Server.
Ghost MCP Server can be installed and run in any environment that supports Node.js (v18 or higher). This includes local development machines, cloud servers, or CI/CD pipelines where interaction with a Ghost CMS instance is required.
You should consider using Ghost MCP Server when you need programmatic access to your Ghost CMS data for automating repetitive tasks, integrating Ghost CMS into other applications, or building custom tools around your content management workflow.
You can install Ghost MCP Server via npm by running: `npm install @mtane0412/ghost-mcp-server`. After installation, configure the necessary environment variables (`GHOST_URL` and `GHOST_ADMIN_API_KEY`) before starting the server with `npx @mtane0412/ghost-mcp-server`.
To use Ghost MCP Server, you need Node.js (v18 or higher recommended), a running Ghost CMS instance, and a valid Ghost Admin API key. Additionally, setting up environment variables or a `.env` file is required for configuration.
Debugging Ghost MCP Server can be challenging due to its communication over stdio. However, you can utilize the MCP Inspector tool provided as part of the package by running `npm run inspect`, which gives you browser-accessible debugging tools.
Ghost MCP Server operates under the MIT License, allowing free usage, modification, and distribution while including the original copyright notice and permission disclaimer.
Ghost MCP Server offers comprehensive features including Post Management (CRUD operations), Page Management, Tag Management, Author Management, Member Management, Image Upload Support, and search capabilities for both posts and members.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.