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Strapi MCP Server

MCP Server

AI‑powered interface for Strapi CMS

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Updated Apr 3, 2025

About

A Model Context Protocol server that lets AI assistants interact with your Strapi instance via a standardized API, supporting schema introspection, CRUD operations, media handling, and JWT authentication across Strapi v4 and v5.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

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The Strapi MCP Server bridges the gap between AI assistants and Strapi‑based content ecosystems. By exposing a Model Context Protocol interface, it lets an assistant like Claude query, create, update, and delete content in a Strapi instance without needing to write custom integrations. This eliminates the friction of manually wrapping REST endpoints, handling authentication, and reconciling differences between Strapi v4 and v5—all of which are automatically managed by the server.

At its core, the MCP server provides schema introspection and content‑type management. An assistant can ask the server to list available collections, components, and fields, receiving a machine‑readable description that can be used to build dynamic prompts or validate user input. Once the schema is known, the server’s REST API support allows CRUD operations with built‑in validation. It handles version‑specific differences, such as changes to the API or media handling routes, so developers can write a single set of commands that work across Strapi releases.

Key capabilities include JWT authentication for secure access, a strict write‑protection policy that can be toggled to prevent accidental data modification during testing, and media upload handling with automatic image format conversion. The server also offers a comprehensive set of documentation tools, embedding API references and best‑practice guides directly into the MCP capabilities, so developers can discover usage patterns without leaving their AI workflow.

In real‑world scenarios, the Strapi MCP Server shines in content‑heavy applications such as headless e‑commerce sites, marketing portals, and knowledge bases. An AI assistant can pull product catalogs, generate SEO‑optimized descriptions, or update blog posts on demand—all while respecting Strapi’s permission model. Because the server is configurable for multiple instances, a single assistant can manage content across staging, production, and partner sites with minimal context switching.

For developers building AI‑powered editorial tools or conversational agents, this MCP server offers a stand‑alone, version‑agnostic bridge to Strapi. It reduces boilerplate, enforces security best practices, and keeps the assistant’s interactions consistent across Strapi upgrades—making it a valuable addition to any AI‑centric content workflow.