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 AutoGen 10 tools — connect in under 2 minutes

Name: Kontent.ai
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Kontent.ai as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="kontentai_agent",
            tools=tools,
            system_message=(
                "You help users with Kontent.ai. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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Ed25519Audit chain

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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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Kontent.ai tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Kontent.ai MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Kontent.ai automatically

Why Use AutoGen with the Kontent.ai MCP Server

AutoGen provides unique advantages when paired with Kontent.ai through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Kontent.ai tools to solve complex tasks

Role-based architecture lets you assign Kontent.ai tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Kontent.ai tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Kontent.ai tool responses in an isolated environment

Kontent.ai + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Kontent.ai MCP Server delivers measurable value.

Collaborative analysis: one agent queries Kontent.ai while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Kontent.ai, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Kontent.ai data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Kontent.ai responses in a sandboxed execution environment

Kontent.ai MCP Tools for AutoGen (10)

These 10 tools become available when you connect Kontent.ai to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Kontent.ai + AutoGen FAQ

Common questions about integrating Kontent.ai MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Kontent.ai tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.