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Hashnode MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Create Post, Get Post, Get Publication Posts, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hashnode through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Hashnode MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Hashnode, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hashnode MCP Server

Connect your Hashnode account to any AI agent to streamline your technical writing and blogging workflow. This MCP server allows you to interact with the Hashnode GraphQL API through natural language.

The Vercel AI SDK gives every Hashnode tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • User Profiles — Retrieve detailed information about any Hashnode user by their handle using get_user.
  • Publication Management — List all posts from a specific publication using its domain or hostname with get_publication_posts.
  • Content Retrieval — Fetch full post content and metadata using slugs and hostnames via get_post.
  • Publishing — Create and publish new blog posts with Markdown support and custom tags using create_post directly from your conversation.
  • Editing — Update existing posts, titles, and content with update_post without leaving your AI interface.

The Hashnode MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Hashnode tools available for Vercel AI SDK

When Vercel AI SDK connects to Hashnode through Vinkius, your AI agent gets direct access to every tool listed below — spanning blogging, technical-writing, content-creation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create post on Hashnode

Publish a new post to a publication

get

Get post on Hashnode

Get a single post by its slug

get

Get publication posts on Hashnode

Get a list of posts from a specific publication

get

Get user on Hashnode

Get details about a specific Hashnode user

update

Update post on Hashnode

Modify an existing post

Connect Hashnode to Vercel AI SDK via MCP

Follow these steps to wire Hashnode into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 5 tools from Hashnode and passes them to the LLM

Why Use Vercel AI SDK with the Hashnode MCP Server

Vercel AI SDK provides unique advantages when paired with Hashnode through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Hashnode integration everywhere

03

Built-in streaming UI primitives let you display Hashnode tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Hashnode + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Hashnode MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Hashnode in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Hashnode tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Hashnode capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Hashnode through natural language queries

Example Prompts for Hashnode in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hashnode immediately.

01

"Get details for Hashnode user 'johndoe'."

02

"List all posts from the publication 'blog.hashnode.com'."

03

"Create a new post in publication '642f...' titled 'My MCP Guide' with content '# Introduction...'."

Troubleshooting Hashnode MCP Server with Vercel AI SDK

Common issues when connecting Hashnode to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Hashnode + Vercel AI SDK FAQ

Common questions about integrating Hashnode MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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