Contentful Delivery MCP Server

The Contentful Delivery MCP Server bridges the gap between AI assistants and a headless CMS, allowing conversational agents to fetch, search, and manipulate content directly from Contentful’s Delivery API. By exposing a set of natural‑language tools, it eliminates the need for developers to write custom API wrappers or manage authentication flows. Instead, an AI can issue simple queries—such as “Show me the latest blog posts about machine learning”—and receive structured data without leaving its own context.

At its core, the server offers a unified toolset that mirrors the most common operations in Contentful: querying entries, retrieving single items by ID, browsing assets, and inspecting content‑type schemas. Each tool is designed to be self‑contained yet composable; a prompt can chain multiple calls, for example fetching an entry and then pulling its associated media assets. Pagination support ensures large result sets can be streamed back incrementally, preventing timeouts or memory bloat in the assistant’s runtime. Rich‑text handling further guarantees that complex field types are returned in a consumable format, preserving formatting and embedded references.

Developers benefit from the server’s tight integration with Mastra AI, which automates connection establishment, environment variable injection, and tool registration. Once connected, an assistant can immediately access Contentful data without additional configuration steps. This seamless workflow is especially valuable for content‑centric applications—news portals, e‑commerce sites, and knowledge bases—that rely on up‑to‑date information stored in Contentful. By delegating content retrieval to the MCP server, teams can focus on crafting higher‑level conversational logic rather than plumbing API calls.

Unique advantages of this MCP implementation include optional content‑type filtering via environment variables, which limits the search space and improves performance; built‑in asset browsing that exposes URLs, sizes, and metadata; and a clear separation of concerns where the server handles authentication and rate limiting while the assistant concentrates on intent understanding. Together, these features make the Contentful Delivery MCP Server a robust, developer‑friendly bridge between AI assistants and modern content infrastructure.