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How to Use the WordPress MCP in Vercel AI SDK

Stream live WordPress content updates directly into your React or Next.js UI with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

WordPress MCP on Cursor AI Code Editor MCP Client WordPress MCP on Claude Desktop App MCP Integration WordPress MCP on OpenAI Agents SDK MCP Compatible WordPress MCP on Visual Studio Code MCP Extension Client WordPress MCP on GitHub Copilot AI Agent MCP Integration WordPress MCP on Google Gemini AI MCP Integration WordPress MCP on Lovable AI Development MCP Client WordPress MCP on Mistral AI Agents MCP Compatible WordPress MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect WordPress MCP to Vercel AI SDK

Create your Vinkius account to connect WordPress 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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Real-time Content Retrieval

Get instant data streams for site structures by calling `list_site_categories`. This means when the categories change, your client sees it appear in real time—no loading spinner necessary. You can also fetch details for a single post using `get_post_details`, letting users see the content populate live as they interact with your app.

Managing Site Media Assets

Display media libraries instantly. The `list_media_attachments` tool streams all image and document files from the WordPress library, allowing you to build a dynamic asset viewer. This stream works for anything—from listing documents to viewing images. It's perfect for client-side previews where data needs to appear immediately.

Bulk Content Creation

Build forms that write content live. Using `create_cms_post`, you can send the title, full body, and initial status directly into your user interface's action flow. Need to update existing stuff? `update_cms_post` lets you push changes to a post ID while keeping the UI feeling snappy and responsive.

Setup guide

Set up WordPress 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 WordPress transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WordPress. 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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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WordPress MCP in Vercel AI SDK

You call `list_site_posts` and stream the results to your client. This gives you a real-time feed of post titles, allowing your user interface to update as data streams through.
Yes, you use `delete_cms_post`. If you set the force flag to true, it permanently deletes the post. The result appears immediately in your streaming UI.
The `list_site_tags` tool streams every tag name and its associated IDs back to the client. Your React component receives this data live, making it perfect for building dynamic filtering components.
Absolutely. You use `list_static_pages` to get a stream of all non-blog pages on the site. This data is ideal for populating navigation menus that need real-time updates.
This server handles post IDs, associated content strings (titles and bodies), and user profile details from the `list_site_users` tool.

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