microCMS MCP Server Overview

The microCMS MCP Server bridges the gap between conversational AI assistants and the microCMS content management system. By exposing a Model Context Protocol (MCP) interface, it allows assistants like Claude to query, retrieve, and filter content directly from microCMS endpoints without writing custom API wrappers. This eliminates the need for developers to manually integrate REST calls into their applications, enabling a seamless workflow where natural language prompts can drive content discovery and manipulation.

At its core, the server implements four primary operations: , , , and . These correspond to common microCMS actions—listing all items, fetching a single item by ID, performing keyword searches, and applying complex filter expressions. Each operation accepts a rich set of parameters such as pagination controls (, ), sorting directives, field selection, and depth control for nested references. This flexibility lets developers tailor responses to the exact shape required by their AI workflow, reducing data transfer overhead and improving response times.

For developers building AI-powered applications, the server offers a declarative way to access content. In practice, an assistant can be instructed with prompts like “Show me the latest ten blog titles” or “Find all news articles created after January 1, 2023 in the technology category”, and the MCP client will translate these into the appropriate API calls. The server also provides URI templates ( and ) that can be used as resource references in tool calls, allowing the assistant to pass around stable links that resolve to concrete data via the MCP bridge.

Real-world scenarios include content‑driven chatbots, knowledge bases, and automated editorial workflows. For example, a customer support bot can fetch product documentation on demand, while a marketing team’s internal assistant could pull the latest campaign assets or draft articles. Because the server runs as a lightweight Node.js process, it can be deployed alongside existing services or invoked from the Claude Desktop configuration, making it a drop‑in solution for teams already using microCMS.

Unique advantages of this MCP server stem from its tight coupling with the microCMS API and its adherence to MCP standards. Developers can rely on consistent authentication via environment variables, while the server handles pagination and filtering logic internally. This abstraction not only speeds up development but also ensures that future API changes in microCMS are isolated from the assistant’s logic, providing a robust and maintainable integration point for AI workflows.