MCP Server

Contentful MCP Server (Official)

Official Contentful MCP server for managing entries, content types, assets, and environments.

8.7

Installation

npx @contentful/mcp-server
Platform
Claude Code, Claude Desktop, Cursor
Pricing
free
Last Tested
2026-04-01

About this Tool

Official first-party Contentful MCP server providing full Contentful Management API access. Create, read, update, and delete entries, content types, assets, spaces, and environments directly from Claude. Actively maintained with frequent releases (v1.7.12+). Published on npm for easy installation. Ideal for marketing teams managing content across headless CMS architectures.

Use Case Examples

  • Create and publish blog post entries in Contentful directly from Claude for your content calendar
  • Bulk update product descriptions across multiple locales for an international campaign launch

MarketCore Editorial Review

MarketCore Editorial Review

For marketing teams running enterprise headless CMS stacks on Contentful, this is the essential integration. The full Management API access means Claude can create, update, and publish entries without Contentful's web app — a significant workflow acceleration for content-heavy campaigns. Active release cadence (v1.7.12+) is a confidence signal.

Best For

  • Batch-create campaign landing page entries across multiple locales for international launches
  • Update product descriptions and marketing copy in bulk before a catalog refresh
  • Manage content type schemas when adding new fields for campaign tracking parameters

Code Quality

Official Contentful-maintained server with excellent engineering quality and frequent releases. npm packaging is clean, and the API surface accurately reflects Contentful's Management API capabilities.

Limitations

Content Management API calls count against Contentful's API rate limits. Publish actions affect live content immediately — requires discipline to avoid unintended production updates. Contentful's pricing model (per API call, per locale) can make heavy AI usage expensive.

Reviewed 2026-04-01

Score Breakdown

8.7

Overall Score

Based on 5 dimensions

Installation
9/10
Documentation
8/10
Relevance
8/10
Quality
9/10
Maintenance
10/10

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