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mcp-server

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

Install / Use

claude mcp add kontent-ai -- npx -y github:kontent-ai/mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of mcp-server

mcp-server scores 81/100 on our quality scale, 3501st of 4,616 Development & Engineering skills we index.

Its MCP Server is 19 KB long, well organised into 40 sections with 11 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so mcp-server is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-28. Automated pattern scan on 2026-10-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

mcp-server compared with similar skills

All 4 of these similar skills score higher than mcp-server; compare them before choosing.

SkillScoreStarsUpdatedFormat
mcp-server (this skill)by kontent-ai81106d agoMCP Server
Agent-Reachby Panniantong100105.0k2d agoCLAUDE.md
taste-skillby Leonxlnx100103.8ktodayCLAUDE.md
headroomby headroomlabs-ai10078.1ktodayCLAUDE.md
ai-job-searchby ai-job-search-dev10066.9ktodayCLAUDE.md

Frequently asked questions

How do I install mcp-server?
Run claude mcp add kontent-ai -- npx -y github:kontent-ai/mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does mcp-server work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is mcp-server safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcp-server still maintained?
The repository was last updated 6 days ago, so mcp-server is actively maintained.

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

  • 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 <api-key>

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

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars10
CategoryDevelopment
Updated6d ago
Forks13

Languages

TypeScript

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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