Ghost MCP Server

Ghost MCP Server is a purpose‑built bridge that lets large language models, such as Claude, interact directly with the Ghost content management system through the Model Context Protocol. By exposing a rich set of resources and tools, it eliminates the need for developers to write custom API wrappers or authentication layers when building AI‑powered editorial workflows. The server authenticates with Ghost’s Admin API using a JSON Web Token, ensuring that all requests are secure and scoped to the appropriate permissions.

The core value of Ghost MCP lies in its comprehensive coverage of Ghost entities. Posts, members, newsletters, offers, invites, roles, tags, tiers, users, and webhooks are all available as first‑class resources. Each resource comes with a suite of CRUD operations—browse, read, add, edit, and delete—so an assistant can retrieve a list of drafts, pull the content of a specific article, or create a new newsletter campaign without leaving the chat. This tight integration makes it trivial to embed content creation, audience management, or subscription handling directly into conversational AI applications.

Key capabilities extend beyond simple data retrieval. The server supports advanced search options, including fuzzy and exact matching across posts and members, allowing assistants to locate relevant content quickly. Human‑readable output formatting is built in, so responses are immediately understandable to editors and writers. Robust error handling via custom exceptions and integrated logging provide developers with clear diagnostics when something goes wrong, streamlining maintenance.

Ghost MCP is designed to fit naturally into existing AI workflows. For example, a content strategist could ask the assistant to “draft a new post about sustainable fashion,” and the model would generate the text, then use the tool to publish it. A marketing manager might request “send a newsletter to all tier‑2 members about our upcoming sale,” and the assistant would compile the list, craft the email, and trigger a operation. These use cases demonstrate how Ghost MCP turns routine editorial tasks into conversational commands, boosting productivity and reducing friction.

What sets this server apart is its TypeScript foundation and NPM distribution. The migration from Python to TypeScript brings type safety, easier dependency management, and a smoother developer experience. Configuration is handled through simple environment variables, and the official client ensures reliable communication with Ghost’s backend. Together, these design choices deliver a stable, maintainable tool that empowers developers to weave Ghost content management seamlessly into AI‑driven applications.