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by tejedamiguel6 • Search & Retrieval
An MCP server that lets Claude-based agents fetch content types and entries from a Contentful space for use in structured AI responses.
Fetch Contentful content types to discover available schemas and fields.
Retrieve entries for a specific content type to answer user queries with up-to-date CMS content.
Structured, machine-friendly CMS responses to enrich prompts and automate content-aware workflows.
This repository provides a Model Context Protocol (MCP) server that enables Claude to interact directly with Contentful CMS data. It can list content types and retrieve entries (published/preview depending on tokens) and returns structured responses suitable for AI consumption. The project is intended to run with Node.js and requires Contentful API credentials and can be configured for use with Claude Desktop. It simplifies giving LLM agents access to CMS content for answering queries or driving content-aware automation.
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