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How to Use the Mirror.xyz (Web3 Publishing Platform) MCP in Vercel AI SDK

Pull Mirror.xyz content directly into your Vercel AI SDK streams. Build live feeds that update as your AI agent finds new posts.

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Works with every AI agent you already use

…and any MCP-compatible client

Mirror.xyz (Web3 Publishing Platform) MCP on Cursor AI Code Editor MCP Client Mirror.xyz (Web3 Publishing Platform) MCP on Claude Desktop App MCP Integration Mirror.xyz (Web3 Publishing Platform) MCP on OpenAI Agents SDK MCP Compatible Mirror.xyz (Web3 Publishing Platform) MCP on Visual Studio Code MCP Extension Client Mirror.xyz (Web3 Publishing Platform) MCP on GitHub Copilot AI Agent MCP Integration Mirror.xyz (Web3 Publishing Platform) MCP on Google Gemini AI MCP Integration Mirror.xyz (Web3 Publishing Platform) MCP on Lovable AI Development MCP Client Mirror.xyz (Web3 Publishing Platform) MCP on Mistral AI Agents MCP Compatible Mirror.xyz (Web3 Publishing Platform) MCP on Amazon AWS Bedrock MCP Support
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Vercel AI SDK

Connect Mirror.xyz (Web3 Publishing Platform) MCP to Vercel AI SDK

Create your Vinkius account to connect Mirror.xyz (Web3 Publishing Platform) 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 publication discovery

Use `get_entries` to pull a list of posts from any ENS domain. Your AI client parses the returned digests to identify which pieces of content matter for the current conversation. This bypasses manual indexing. You get structured data ready for your UI components immediately, keeping your Vercel AI SDK implementation fast and responsive.

Fetch raw content via Arweave

Feed a digest into `get_entry` to grab the full markdown content of a publication. This MCP Server handles the Arweave transaction lookup so you don't have to manage raw chain data. The content streams directly into your `streamText` output. Your users see the blog post body render in real-time as the agent retrieves it.

Zero-latency data piping

Connect this MCP Server to your Vercel AI SDK backend to turn static blog archives into dynamic knowledge bases. It acts as a bridge between decentralized storage and your frontend. You avoid the overhead of custom scrapers. The tools return clean, parsed text that your AI client can summarize or explain to the end user instantly.

Setup guide

Set up Mirror.xyz (Web3 Publishing Platform) 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 Mirror.xyz (Web3 Publishing Platform) 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 Mirror.xyz (Web3 Publishing Platform) 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 Mirror.xyz. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mirror.xyz (Web3 Publishing Platform) MCP in Vercel AI SDK

Yes. You connect the server to your agent, then invoke the tools to pull data directly into your stream.
Wrap your tool calls in standard try-catch blocks. If a digest is invalid, the server returns an error that you can display to the user.
No. The public gateway allows for read-only access without an API key. You just need the server endpoint.
The tools are bound by the public gateway's rate limits. Keep your requests reasonable to avoid getting throttled during high traffic.
The server only touches public blog content from Arweave. No private user keys or sensitive wallet data are ever transmitted or stored.

Start using the Mirror.xyz (Web3 Publishing Platform) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 2 tools

We've already built the connector for Mirror.xyz (Web3 Publishing Platform). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 2 tools are live and waiting. You're up and running in seconds.

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