How to Use the Ghost MCP in Vercel AI SDK

Q: How do I stream a new Ghost post draft using the Vercel AI SDK?

You call the createpost tool inside the streamText function. The SDK streams the generated draft content directly to your frontend UI while saving the draft in your Ghost backend.

Q: Can the Vercel AI SDK display active Ghost membership tiers?

Yes. You pass the listmembershiptiers tool to your tool-calling configuration. The SDK fetches the active tiers and streams the raw JSON structure straight to your React UI.

Q: How does the Vercel AI SDK handle Ghost tag organization?

The agent invokes listtags to analyze your current taxonomy. It then uses that structure to categorize drafts when running the createpost tool.

Q: How does this MCP Server protect my Ghost member emails?

The MCP Server handles sensitive subscriber lists from listmembers strictly within an ephemeral, zero-trust sandbox. Your keys never persist in the Vercel environment, preventing unauthorized exposure of your subscriber data.

Pipe Ghost CMS data directly into your React components in real-time using the Vercel AI SDK.

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Connect Ghost MCP to Vercel AI SDK

Create your Vinkius account to connect Ghost 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 Ghost with Vercel AI SDK

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Live-stream Draft Creation to Next.js

The `create_post` tool lets your Vercel AI SDK client build and format new articles on the fly. When your user prompts the agent to draft a piece, the tool output flows straight to the browser, rendering the post title and body live on screen before saving the draft. You get immediate visual feedback in your frontend without waiting for a server-side payload to resolve. By coupling this tool with `get_post_details`, your custom editor app displays real-time updates as the agent refines the copy.

Interactive Member Directories in React

Use `list_members` to feed active subscriber data directly into your client-side UI components. The Vercel AI SDK handles the data stream, so your administrative dashboard populates emails and join dates as they arrive from your Ghost database. This approach removes the typical loading spinner lag from your admin panels. Your team can filter through subscribers by combining this search with `list_membership_tiers` to display active tiers right inside your custom dashboard.

Dynamic Offer Catalogs via MCP Server

The `list_offers` tool fetches active discounts and promotions directly through this MCP Server connection. The Vercel AI SDK streams these structured deals into your pricing page components based on what the site visitor asks. To keep the layout accurate, the agent cross-references active promotions with the `list_newsletters` endpoint. This ensures your custom frontend displays current subscription deals without hardcoding values in your Next.js codebase.

Setup guide

Set up Ghost 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 Ghost 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 Ghost transactions",
});

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

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Common questions about Ghost MCP in Vercel AI SDK

You call the `create_post` tool inside the `streamText` function. The SDK streams the generated draft content directly to your frontend UI while saving the draft in your Ghost backend.

Yes. You pass the `list_membership_tiers` tool to your tool-calling configuration. The SDK fetches the active tiers and streams the raw JSON structure straight to your React UI.

It does. The client setup is lightweight and compatible with Edge runtimes, making direct outbound HTTP calls to fetch `list_posts` without cold-start delays.

The agent invokes `list_tags` to analyze your current taxonomy. It then uses that structure to categorize drafts when running the `create_post` tool.

The MCP Server handles sensitive subscriber lists from `list_members` strictly within an ephemeral, zero-trust sandbox. Your keys never persist in the Vercel environment, preventing unauthorized exposure of your subscriber data.

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