Kontent AI MCP

Name: Kontent AI MCP
Author: kontent-ai

作者：kontent-ai版本 0.39.0i★ –i在你的电脑上运行

注册名称io.github.kontent-ai/mcp-server

安装

概览

作者提供的说明（英文原文）

Connect to Kontent.ai to manage content, types, taxonomies, and workflows via natural language

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio, Streamable HTTP
分类: 其他
你需要填写：KONTENT_API_KEY, KONTENT_ENVIRONMENT_ID

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： KONTENT_API_KEY, KONTENT_ENVIRONMENT_ID

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "kontent-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@kontent-ai/mcp-server",
        "stdio"
      ],
      "env": {
        "KONTENT_API_KEY": "your-value",
        "KONTENT_ENVIRONMENT_ID": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add kontent-ai --env KONTENT_API_KEY=your-value --env KONTENT_ENVIRONMENT_ID=your-value -- npx -y @kontent-ai/mcp-server stdio

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "kontent-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@kontent-ai/mcp-server",
        "stdio"
      ],
      "env": {
        "KONTENT_API_KEY": "your-value",
        "KONTENT_ENVIRONMENT_ID": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "kontent-ai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@kontent-ai/mcp-server",
        "stdio"
      ],
      "env": {
        "KONTENT_API_KEY": "your-value",
        "KONTENT_ENVIRONMENT_ID": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

KONTENT_API_KEY 机密必填 env
Kontent.ai Management API key
KONTENT_ENVIRONMENT_ID 必填 env
Kontent.ai environment ID

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 kontent-ai 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32678 个服务器的 0%
发布到注册中心的时间比此分类中其他 32678 个服务器的 31% 更新
基础检查结果等于或优于此分类中其他 32678 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Kontent AI MCP 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：KONTENT_API_KEY, KONTENT_ENVIRONMENT_ID

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.39.0）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Starreel

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

Starreel

作者：starreel

Turn a script into a finished, downloadable short-drama episode — via MCP or REST.

在你的电脑上运行今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Kontent.ai MCP Server

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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

✨ Key Features
🔌 Quickstart
🛠️ Available Tools
⚙️ Configuration
🔒 Security
🚀 Transport Options
💻 Development
🛠 Local Installation
📂 Project Structure
🔍 Debugging
📦 Release Process
License

🔌 Quickstart

🔑 Prerequisites

Before you can use the MCP server, you need:

A Kontent.ai account - Sign up if you don't have an account.
A project - Create a project to work with.
Management API key - Create a key with appropriate permissions.
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

get-content-type-snippet – Get Kontent.ai content type snippet by ID
list-content-type-snippets – Get all Kontent.ai content type snippets
create-content-type-snippet – Create new Kontent.ai content type snippet
patch-content-type-snippet – Update an existing Kontent.ai content type snippet by ID using patch operations (move, addInto, remove, replace)
delete-content-type-snippet – Delete a Kontent.ai content type snippet by ID

Taxonomy Management

get-taxonomy-group – Get Kontent.ai taxonomy group by ID
list-taxonomy-groups – Get all Kontent.ai taxonomy groups
create-taxonomy-group – Create new Kontent.ai taxonomy group
patch-taxonomy-group – Update Kontent.ai taxonomy group using patch operations (addInto, move, remove, replace)
delete-taxonomy-group – Delete Kontent.ai taxonomy group by ID

Content Item Management

get-content-item – Get Kontent.ai content item by ID
get-content-item-variant – Retrieve Kontent.ai content item variant (language version/translation). Returns the current version — draft if one exists, otherwise published
get-published-content-item-variant-version – Retrieve the published version of a Kontent.ai content item variant. Use when a newer draft version exists but you need the currently published (live) content
get-content-item-translations – Get all Kontent.ai content item translations — every language version (variant) of a specific content item
list-content-item-variants – List, filter, search Kontent.ai content items with content item variants (language versions/translations)
create-content-item – Create new Kontent.ai content item (creates the container only, use create-content-item-variant to add language versions/translations)
update-content-item – Update existing Kontent.ai content item by ID. The content item must already exist - this tool will not create new items
delete-content-item – Delete Kontent.ai content item by ID
create-content-item-variant – Create Kontent.ai content item variant assigning current user as contributor. Element values must fulfill limitations and guidelines defined in content type. Send only the elements you want to set; omitted ones initialize empty
update-content-item-variant – Update Kontent.ai content item variant of a content item. Element values must fulfill limitations and guidelines defined in content type. Send only the elements you want to change — omitted elements are left untouched. For rich-text elements with components, submit the full element (value plus the complete components array, including components that are left untouched)
create-new-content-item-variant-version – Create new version of Kontent.ai content item variant. This operation creates a new version of an existing content item variant, useful for content versioning and creating new drafts from published content
delete-content-item-variant – Delete Kontent.ai content item variant
bulk-get-content-item-variants – Bulk get Kontent.ai content items with their content item variants by item and language reference pairs. Use after list-content-item-variants to retrieve full content data for specific item+language pairs. Items without a variant in the requested language return the item without the variant property. Returns paginated results with continuation token
search-content-item-variants – AI-powered semantic search for finding content by meaning and concepts in a specific content item variant. Use for: conceptual searches when you don't know exact keywords. Limited filtering options (variant ID only)

Asset Management

get-asset – Get a specific Kontent.ai asset by ID
list-assets – Get all Kontent.ai assets
update-asset – Update Kontent.ai asset by ID

Asset Folder Management

list-asset-folders – List all Kontent.ai asset folders
patch-asset-folders – Modify Kontent.ai asset folders using patch operations (addInto to add new folders, rename to change names, remove to delete folders)

Language Management

list-languages – Get all Kontent.ai languages (includes both active and inactive - check is_active property)
create-language – Create new Kontent.ai language (languages are always created as active)
patch-language – Update Kontent.ai language using replace operations (only active languages can be modified - to activate/deactivate, use the Kontent.ai web UI)

Collection Management

list-collections – Get all Kontent.ai collections. Collections set boundaries for content items in your environment and help organize content by team, brand, or project
patch-collections – Update Kontent.ai collections using patch operations (addInto to add new collections, move to reorder, remove to delete empty collections, replace to rename)

Space Management

list-spaces – Get all Kontent.ai spaces
create-space – Create new Kontent.ai space for managing a website or channel
patch-space – Patch Kontent.ai space using replace operations
delete-space – Delete Kontent.ai space

Role Management

list-roles – Get all Kontent.ai roles. Requires Enterprise or Flex plan with "Manage custom roles" permission

Workflow Management

list-workflows – Get all Kontent.ai workflows. Workflows define the content lifecycle stages and transitions between them
create-workflow – Create new Kontent.ai workflow with custom steps, transitions, scopes, and role permissions
update-workflow – Update an existing Kontent.ai workflow by ID. Modify steps, transitions, scopes, and role permissions. Cannot remove steps that are in use
delete-workflow – Delete a Kontent.ai workflow by ID. The workflow must not be in use by any content items
change-content-item-variant-workflow-step – Change the workflow step of a content item variant in Kontent.ai. This operation moves a content item variant to a different step in the workflow, enabling content lifecycle management such as moving content from draft to review, review to published, etc.
publish-content-item-variant – Publish or schedule a content item variant of a content item in Kontent.ai. This operation can either immediately publish the variant or schedule it for publication at a specific future date and time with optional timezone specification
unpublish-content-item-variant – Unpublish or schedule unpublishing of a content item variant of a content item in Kontent.ai. This operation can either immediately unpublish the variant (making it unavailable through the Delivery API) or schedule it for unpublishing at a specific future date and time with optional timezone specification
cancel-scheduled-publishing-content-item-variant – Cancel scheduled publishing of a content item variant in Kontent.ai. This operation reverts a variant that was scheduled for publishing back to its previous workflow step, enabling further edits

⚙️ Configuration

The server supports two modes, each tied to its transport:

Transport	Mode	Authentication	Use Case
STDIO	Single-tenant	Environment variables	Local communication with a single Kontent.ai environment
Streamable HTTP	Multi-tenant	Bearer token per request	Remote/shared server handling multiple environments

Single-Tenant Mode (STDIO)

Configure credentials via environment variables:

Variable	Description	Required
KONTENT_API_KEY	Your Kontent.ai key	✅
KONTENT_ENVIRONMENT_ID	Your environment ID	✅
appInsightsConnectionString	Application Insights connection string for telemetry	❌
projectLocation	Project location identifier for telemetry tracking	❌
manageApiUrl	Custom base URL (for preview environments)	❌

Multi-Tenant Mode (Streamable HTTP)

For the Streamable HTTP transport, credentials are provided per request:

Environment ID as a URL path parameter: /{environmentId}/mcp
API Key via Bearer token in the Authorization header: Authorization: Bearer

This allows a single server instance to handle requests for multiple Kontent.ai environments without requiring credential environment variables.

KONTENT_API_KEY and KONTENT_ENVIRONMENT_ID are ignored on this transport, even if they happen to be set in the server's environment. Every request must carry its own credentials; one that doesn't is rejected rather than served with the server's.

Variable	Description	Required
PORT	Port for HTTP transport (defaults to 3001)	❌
appInsightsConnectionString	Application Insights connection string for telemetry	❌
projectLocation	Project location identifier for telemetry tracking	❌
manageApiUrl	Custom base URL (for preview environments)	❌

🔒 Security

Indirect prompt injection

Content returned by this server (for exampl

只显示了开头部分；其余内容请在仓库中阅读