How to Use the Kontent.ai MCP in Mastra AI

Q: How can I search through Kontent.ai content inside a Mastra AI workflow?

Invoke the searchkontentai tool within your agent's logic. It returns a list of items that match your parameters, allowing the workflow to continue based on the results.

Q: Can I use multiple languages with Kontent.ai in Mastra AI?

You can. Use listprojectlanguages to see what is available, then pass the language codename to your retrieval tools to get the correct version.

Build resilient content workflows in Mastra AI with this Kontent.ai integration.

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…and any MCP-compatible client

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Connect Kontent.ai MCP to Mastra AI

Create your Vinkius account to connect Kontent.ai to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kontent.ai with Mastra AI

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Automated workflow integration for Mastra AI

Link your Mastra AI agents to your CMS using `list_content_items`. When a workflow requires fresh copy, the agent grabs it automatically without manual intervention. It plugs directly into your agent's tool set. You can chain these calls to perform multi-step content processing tasks.

Reliable taxonomy and asset management

Audit your library with `list_content_assets` and `list_taxonomies`. Your workflows can verify tags and media before proceeding to the next step. If an asset is missing or a taxonomy group is empty, the agent logs the state. This prevents broken links in your automated publishing pipeline.

Conditional logic for content types

Use `get_content_type` to inform your agent's decision-making process. If an item matches a specific schema, the agent executes the appropriate branch of your workflow. It makes your agents smarter about content structure. They react to changes in your data models by adjusting their logic on the fly.

Setup guide

Set up Kontent.ai MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Kontent.ai tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "kontentai-mcp-client",
  servers: {
    "kontentai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Kontent.ai Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Kontent.ai tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Kontent.ai transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kontent.ai. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Kontent.ai MCP in Mastra AI

Invoke the `search_kontent_ai` tool within your agent's logic. It returns a list of items that match your parameters, allowing the workflow to continue based on the results.

Yes. Mastra AI's engine handles retries if a tool call fails. You define the backoff policy in your agent configuration to ensure data retrieval persists.

No. Your credentials stay on the Vinkius platform. The server uses a single endpoint token to authenticate your requests to the CMS.

You can. Use `list_project_languages` to see what is available, then pass the language codename to your retrieval tools to get the correct version.

We secure your content metadata and item records using ephemeral connections. No data is stored long-term; it exists only for the duration of your agent's task.

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