Where do I find my Project ID?

Log in to Kontent.ai, go to **Project Settings** > **API keys**, and copy the Project ID.

A codename is a unique, URL-friendly identifier for content items, types, or elements (e.g., 'about_us_page').

Is the Delivery API Key mandatory?

Only if you have enabled **Secure Access** in your project settings. Otherwise, the Project ID is enough.

Kontent.ai MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: Kontent.ai
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Kontent.ai and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "kontentai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Kontent.ai MCP Server

Connect your AI agent to Kontent.ai Delivery API to fetch and analyze your modular content.

GitHub Copilot Agent mode brings Kontent.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

Key Features

Content Item Retrieval — Fetch the full modular content of any item by its codename
Schema Auditing — List and examine content types to understand your project's data model
Taxonomy Access — Query taxonomy groups and terms for content categorization
Asset Discovery — Locate images and files stored in your content library
Smart Search — Perform filtered searches across your entire delivery repository

Simple Setup

1. Subscribe to this server
2. Get your Project ID from Kontent.ai (Project Settings > API keys)
3. (Optional) Enter your Delivery API Key if Secure Access is enabled
4. Start querying your content via natural language

The Kontent.ai MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Kontent.ai to VS Code Copilot via MCP

Follow these steps to integrate the Kontent.ai MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Kontent.ai

Ask Copilot: "Using Kontent.ai, help me...". 10 tools available

Why Use VS Code Copilot with the Kontent.ai MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Kontent.ai through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Kontent.ai + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Kontent.ai MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Kontent.ai MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Kontent.ai to VS Code Copilot via MCP:

get_content_item

Get a specific content item by codename

get_content_type

Get details for a content type

get_content_type_element

g., options for a multiple choice element). Get metadata for a specific element in a type

get_taxonomy_group

Get details for a taxonomy group

list_content_assets

ai. Query assets from the content library

list_content_items

Use this to find codenames for specific articles, products, or pages. List all content items from Kontent.ai

list_content_types

List all content types (schemas)

list_project_languages

List supported languages

list_taxonomies

List taxonomy groups

search_kontent_ai

Search for content using query parameters

Example Prompts for Kontent.ai in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Kontent.ai immediately.

"List the last 10 content items in Kontent.ai"

"Show the schema for content type 'article'"

"Search for items related to 'Winter Sale'"

Troubleshooting Kontent.ai MCP Server with VS Code Copilot

Common issues when connecting Kontent.ai to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Kontent.ai + VS Code Copilot FAQ

Common questions about integrating Kontent.ai MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.