How to Use the BlogIn MCP in Vercel AI SDK

Q: Can I use BlogIn with Vercel AI SDK to pull wiki pages?

Yes. You simply call the listinternalpages tool within your agent logic. The data returns as a clean object ready for your frontend.

Stream BlogIn content straight into your Vercel AI SDK frontends for real-time internal updates.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect BlogIn MCP to Vercel AI SDK

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

Ask AI about this MCP

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Live BlogIn data in your UI

Feed company knowledge directly into your interface using the `list_posts` and `list_internal_pages` tools. Your users see updates as they happen without waiting for a server reload. This MCP Server handles the connection while you focus on the UI components. Your React or Next.js app pulls current details via `get_post_details` the moment the user asks.

Manage team knowledge with code

Trigger `create_internal_post` from your own admin dashboard built with TypeScript. You bypass the standard editor to push updates instantly. Everything stays in sync because your app talks to the API layer. You control exactly what gets posted and who sees it by mapping `list_team_members` to your logic.

Automate comment tracking

Monitor recent activity by calling `list_recent_comments` within your edge functions. You get an immediate view of team discussions. Displaying this data helps keep the team engaged. You can filter the results to highlight specific categories retrieved by `list_categories`.

Setup guide

Set up BlogIn 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 BlogIn 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 BlogIn transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BlogIn. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BlogIn now

Real-time monitoring

Live

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 BlogIn MCP in Vercel AI SDK

Yes. You simply call the `list_internal_pages` tool within your agent logic. The data returns as a clean object ready for your frontend.

You pass your endpoint token into the transport configuration. This keeps your credentials out of the client-side code entirely.

It works perfectly. Since the server responds to tool calls, the stream picks up the results and renders them to your UI.

Your app receives an error response from the tool call. You should handle this in your code to show a fallback message to your users.

Your internal post text and team lists never touch public logs. Vinkius runs the server in an isolated sandbox, keeping your knowledge base secure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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