How to Use the Flotiq MCP in Vercel AI SDK

Q: How do I search for Flotiq content using Vercel AI SDK?

You integrate the searchglobalcontent tool into your agent's toolset. When a user asks a question, the agent performs a lookup and returns the relevant JSON objects to your interface.

Q: Can Flotiq objects be updated via Vercel AI SDK?

Yes, you use the patchcmsobject tool to modify existing records. Ensure your agent has the necessary permissions to perform these mutations on your content types.

Q: Does Vercel AI SDK handle Flotiq media assets?

You can use listmediaassets to pull your image and file references into your application. It maps your media properties so they can be rendered dynamically in your UI.

Build live content interfaces in Vercel AI SDK by syncing your Flotiq CMS data directly into your frontend stream.

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Connect Flotiq MCP to Vercel AI SDK

Create your Vinkius account to connect Flotiq to Vercel AI SDK 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 Vercel AI SDK

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Real-time content management for AI SDK

Feed your application data directly from Flotiq into your AI responses without waiting for full page reloads. Use `list_content_objects` to fetch records and push them straight to your UI components. Your users see information materialize as the model processes it. It removes the latency between the agent's query and the final data display.

Schema-aware content creation

Validate your content structures before pushing them to the CMS. By calling `get_content_type_schema`, you ensure the agent follows your predefined data constraints perfectly. This prevents runtime errors when you use `create_cms_object` to add new entries. You get a clean, predictable flow from agent input to database persistence.

Audit tenant resources via AI SDK

Keep track of your API consumption limits directly within your stream. The `get_tenant_limits` tool provides the current state of your account quotas. Integrate this check before executing heavy batch operations. It gives you immediate feedback on whether your agent has enough room to perform its next batch of updates.

Setup guide

Set up Flotiq MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Flotiq tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Flotiq transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

You integrate the `search_global_content` tool into your agent's toolset. When a user asks a question, the agent performs a lookup and returns the relevant JSON objects to your interface.

Yes, you use the `patch_cms_object` tool to modify existing records. Ensure your agent has the necessary permissions to perform these mutations on your content types.

You can use `list_media_assets` to pull your image and file references into your application. It maps your media properties so they can be rendered dynamically in your UI.

The server returns an error code when you hit your limit. Use `get_tenant_limits` to monitor your usage and proactively warn your users before hitting hard caps.

Your content stays between your Vercel deployment and the Flotiq API. We never store your records or logs, and access is restricted to the specific API key you provide during setup.

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