How to Use the Flotiq MCP in Mastra AI

Q: How does Mastra AI search Flotiq content?

You expose the searchglobalcontent tool to your Mastra agent. The agent then runs queries against your CMS index to find the data required for its workflow.

Q: Can I use Mastra AI to manage Flotiq schemas?

You can use getcontenttypeschema to inspect your data models. This allows your agents to understand the structure of your content before creating new objects.

Q: Does Flotiq work with Mastra AI branching?

Yes, your agents can branch based on the results of getcontentdetails. If a specific piece of content meets your criteria, the agent proceeds to the next step.

Q: How do I monitor Flotiq limits in Mastra AI?

Add gettenantlimits as a background task. Your agent can check these values periodically to ensure your workflows stay within your plan's constraints.

Automate complex content workflows in Mastra AI by connecting your Flotiq CMS to agentic decision-making.

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Connect Flotiq MCP to Mastra AI

Create your Vinkius account to connect Flotiq 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 Flotiq with Mastra AI

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Conditional content logic in Mastra AI

Build agentic workflows that react to CMS state changes. Use `list_all_content_types` to understand your data structure and trigger specific logic based on those types. If the agent identifies a missing field, it can immediately execute a correction. You keep your content clean without manual intervention.

Safe content destruction with human oversight

Manage your database lifecycle by integrating `wipe_cms_object` within your Mastra workflows. You can gate this tool behind a human-in-the-loop approval step. This ensures that data removal only happens when you explicitly authorize the action. It protects your production environment from accidental deletions.

Automated asset tracking in Mastra AI

Keep your media library in sync with your content objects. Call `list_media_assets` to verify that all your linked assets are present and accounted for. This prevents broken links in your CMS. Your agents can verify the presence of assets before finalizing any content updates.

Setup guide

Set up Flotiq 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 Flotiq 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: "flotiq-mcp-client",
  servers: {
    "flotiq-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Flotiq 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 Flotiq. 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 Flotiq MCP in Mastra AI

You expose the `search_global_content` tool to your Mastra agent. The agent then runs queries against your CMS index to find the data required for its workflow.

You can use `get_content_type_schema` to inspect your data models. This allows your agents to understand the structure of your content before creating new objects.

Yes, your agents can branch based on the results of `get_content_details`. If a specific piece of content meets your criteria, the agent proceeds to the next step.

Add `get_tenant_limits` as a background task. Your agent can check these values periodically to ensure your workflows stay within your plan's constraints.

Your content data is processed in memory during workflow execution. We do not persist your CMS records or API keys outside of the session, and all communication uses encrypted transport.

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