KA

kontent-ai/mcp-server

Developer tools

このページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る

10 stars 13 forks 品質 84 トレンド 38MIT

The Official Kontent.ai MCP server. Connect your AI with Kontent.ai.

概要

![NPM Version][npm-url] ![Contributors][contributors-url] ![Forks][forks-url] ![Stargazers][stars-url] ![Issues][issues-url] ![MIT License][license-url] ![Discord][discord-url] Transform your content operations with AI-powered tools for Kontent.ai. Create, manage, and explore your structured content through natural language conversations in your favorite AI-enabled editor. Kontent.ai MCP Server implements the Model Context Protocol to connect your Kontent.ai projects with AI tools like Claude, Cursor, and VS Code. It enables AI models to understand your content structure and perform operations through natural language instructions. * 🚀 : Transform your diagrams into live content models in seconds * 📈 : Visualise your content model in any format you want Before you can use the MCP server, you need: 1. - Sign up if you don't have an account. 1. - Create a project to work with. 1. - Create a key with appropriate permissions. 1. - Get your environment ID. You can run the Kontent.

README

以下は原文 README の抜粋です。原文を見る。

Kontent.ai MCP Server

[![NPM Version][npm-shield]][npm-url] [![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![MIT License][license-shield]][license-url] [![Discord][discord-shield]][discord-url]

Transform your content operations with AI-powered tools for Kontent.ai. Create, manage, and explore your structured content through natural language conversations in your favorite AI-enabled editor.

Kontent.ai MCP Server implements the Model Context Protocol to connect your Kontent.ai projects with AI tools like Claude, Cursor, and VS Code. It enables AI models to understand your content structure and perform operations through natural language instructions.

✨ Key Features

  • 🚀 Rapid prototyping: Transform your diagrams into live content models in seconds
  • 📈 Data Visualisation: Visualise your content model in any format you want

Table of Contents

🔌 Quickstart

🔑 Prerequisites

Before you can use the MCP server, you need:

  1. A Kontent.ai account - Sign up if you don’t have an account.
  2. A project - Create a project to work with.
  3. Management API key - Create a key with appropriate permissions.
  4. Environment ID - Get your environment ID.

🛠 Setup Options

You can run the Kontent.ai MCP Server with npx:

STDIO Transport

npx @kontent-ai/mcp-server@latest stdio

Streamable HTTP Transport

npx @kontent-ai/mcp-server@latest shttp

🛠️ Available Tools

Patch Operations Guide

  • get-patch-guide – 🚨 REQUIRED before any patch operation. Get patch operations guide for Kontent.ai by entity type

Content Type Management

  • get-content-type – Get Kontent.ai content type by ID
  • list-content-types – Get all Kontent.ai content types
  • list-content-type-usages – List where a Kontent.ai content type is used
  • create-content-type – Create new Kontent.ai content type
  • patch-content-type – Update an existing Kontent.ai content type by codename using patch operations (move, addInto, remove, replace)
  • delete-content-type – Delete a Kontent.ai content type by ID

Content Type Snippet Management

GitHub で README 全文を見る

インストール

npx @kontent-ai/mcp-server@latest stdio
MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "kontent-ai-multi": { "command": "npx", "args": [ "mcp-remote", "http://localhost:3001/<environment-id>/mcp", "--header", "Authorization: Bearer <management-api-key>" ] } } }