How to Use the Hashnode MCP in Vercel AI SDK
Push content to your blog live with the Vercel AI SDK. Stream your writing process directly into the browser for your readers.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hashnode MCP to Vercel AI SDK
Create your Vinkius account to connect Hashnode 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.
Stream drafts directly to Hashnode
Your AI client pushes content straight to your publication using `create_post`. It handles the heavy lifting so you avoid manual copy-pasting. Everything renders in real-time within your UI. You see the post structure take shape as the model generates the markdown.
Pull live data into your frontend
Fetch existing articles using `get_publication_posts` to populate your dashboard. It brings your latest technical insights right into your React or Next.js components. Use `get_post` to grab specific content by slug. Your users get the most current version of your technical tutorials without a page refresh.
Manage your profile via MCP Server
The MCP Server lets you verify user details with `get_user` before triggering any publishing actions. It keeps your account context accurate throughout the session. You can also use `update_post` to fix typos or add code snippets on the fly. It is a direct line between your codebase and your blog.
Set up Hashnode MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Hashnode tools. Pass them directly togenerateText()orstreamText()— 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.
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 Hashnode 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 Hashnode. 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.
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 Hashnode MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Hashnode MCP today
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