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

Q: How does Mastra AI query Mirror.xyz (Web3 Publishing Platform) entries?

The agent calls the getentries tool with the target ENS domain. It then processes the returned list of digests.

Automate your publishing workflow with Mastra AI. Build agents that fetch Mirror content, verify data, and trigger follow-up actions.

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

Create your Vinkius account to connect Mirror.xyz (Web3 Publishing Platform) to Mastra AI 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 Mirror.xyz (Web3 Publishing Platform) with Mastra AI

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Claude

Perplexity

Automated ENS publication retrieval

Trigger `get_entries` within your Mastra AI workflows to scan ENS domains for new activity. This lets you build agents that monitor specific writers for updates. If the agent finds new entries, it can branch the workflow to perform further analysis. You control the logic entirely inside your TypeScript codebase.

Structured content ingestion

Use `get_entry` to pull the full text of an Arweave-backed post. Mastra AI agents use this content as context for complex tasks like summarization or cross-referencing. Since the output is structured, you can pipe it into other tools in your agent's toolkit. It removes the need for manual parsing or custom data pipelines.

Workflow-driven content processing

Define agent workflows that automatically retry failed fetches from this MCP Server. Mastra AI manages the state and backoff if the gateway hits a temporary snag. This creates a resilient system. Your agents keep working even if the underlying network experiences brief congestion, ensuring your publication feeds stay current.

Setup guide

Set up Mirror.xyz (Web3 Publishing Platform) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Mirror.xyz (Web3 Publishing Platform) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "mirrorxyz-web3-publishing-platform-mcp-client",
  servers: {
    "mirrorxyz-web3-publishing-platform-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Mirror.xyz (Web3 Publishing Platform) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Mirror.xyz (Web3 Publishing Platform) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Mirror.xyz (Web3 Publishing Platform) transactions"
);
console.log(result.text);

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

Yes. You add this MCP Server as a tool provider in your agent definition to grant it access to the publishing platform.

The agent calls the `get_entries` tool with the target ENS domain. It then processes the returned list of digests.

Yes. Mastra AI handles retries for any tool call, including those made to this server, to ensure your operations don't fail.

Yes. You can require a human to approve the tool call before the agent fetches any content from the network.

The server only reads public blog posts and associated metadata. It does not access private keys or user-specific wallet information.

Use it with your favorite AI tools

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

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