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

Q: How do I set up Mirror.xyz (Web3 Publishing Platform) in Cursor?

Add the MCP server to your .cursor/mcp.json file in your project root or globally in your home directory. Once added, enable Agent mode in the Cursor chat panel to start calling the tools.

Q: Can Cursor write code to parse the markdown returned by Mirror.xyz (Web3 Publishing Platform)?

Yes, the Cursor agent can use getentry to see the exact structure of the markdown payload. It will then generate precise parsing and rendering code tailored to that specific format.

Generate code and populate templates using live Mirror.xyz Web3 data directly inside Cursor.

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Connect Mirror.xyz (Web3 Publishing Platform) MCP to Cursor

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

Ask AI about this MCP

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Claude

Perplexity

Fetch publication digests in the Cursor agent

The `get_entries` tool retrieves a list of publication digests for any ENS domain inside your Cursor chat window. Your agent uses this structured data to generate live UI components or update local database schemas. You avoid writing boilerplate fetch requests to the Mirror GraphQL API. Cursor reads the returned digests directly, letting you build decentralized blogging frontends with real data.

Pull raw markdown files from Arweave

The `get_entry` tool fetches the exact markdown content of a publication using its transaction digest. This feeds the raw, unformatted text straight to your Cursor agent. There is no need to manually download IPFS or Arweave files to test your rendering engine. The agent writes and tests parsing logic against the actual live content.

Build decentralized blogs using this MCP Server

This MCP Server exposes tools that let your Cursor agent write code based on real-world Web3 publications. You can ask the agent to build a custom static site generator that pulls from an ENS domain. The agent handles the schema mapping automatically. You get working, production-ready code because the AI references actual Arweave payloads instead of placeholder text.

Setup guide

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

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Mirror.xyz (Web3 Publishing Platform) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Mirror.xyz (Web3 Publishing Platform) transactions." If the MCP tools are loaded correctly, Cursor will call the Mirror.xyz (Web3 Publishing Platform) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "mirrorxyz-web3-publishing-platform-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 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 Cursor

Add the MCP server to your `.cursor/mcp.json` file in your project root or globally in your home directory. Once added, enable Agent mode in the Cursor chat panel to start calling the tools.

Yes, the Cursor agent can use `get_entry` to see the exact structure of the markdown payload. It will then generate precise parsing and rendering code tailored to that specific format.

No wallet connection is required. The tools retrieve public blockchain data via ENS and Arweave, so you only need standard internet access to run queries.

The server queries public gateways which may rate-limit rapid, successive requests. Your Cursor agent can write basic retry logic or caching layers to handle high-volume fetching.

No, this server only processes ENS domains and Arweave digests that you or your agent explicitly pass to the tools. Your local codebase and project files remain strictly local to your machine.

Use it with your favorite AI tools

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