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MCP Server

by kontent-ai·io.github.kontent-ai/mcp-server·v0.39.0
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Connect to Kontent.ai to manage content, types, taxonomies, and workflows via natural language

A85/100grade A
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Safety scan
A85/100

full report

Adoption
Growing

9 stars384 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

MCP Server tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

no findings
  • Code scan91 source files scanned; 91 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the MCP Server repository's README, as published. We do not edit it. Read it on GitHub

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

  • ✨ 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:

  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

  • 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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

Runs npx -y @kontent-ai/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-server -- npx -y @kontent-ai/mcp-server
Add to Cursor

MCP Server: common questions

Is MCP Server safe?
Yes, by our scan: it is graded A (85/100). Read the MCP Server safety report
How do I install MCP Server?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does MCP Server need an API key?
Yes. The registry entry asks for KONTENT_API_KEY.
Is MCP Server maintained?
The last commit was 3 days ago (2026-09-18). The latest release is v0.39.0.

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