How to Use the X (Twitter) MCP in Cursor

Q: How do I search for recent tweets using Cursor?

You let the agent call searchrecenttweets and pass in your query string. The resulting public tweet data gets injected live into the code you're currently writing.

Q: Can I use this MCP Server to validate X (Twitter) usernames?

Yep. Use lookupuserbyusername to check follower counts, bios, and verification status. This helps you write code that depends on accurate user data.

Q: Is analyzing X (Twitter) data possible in Cursor?

Yes. You can use gettweetdetails to pull specific engagement metrics for a given tweet ID and incorporate those numbers directly into your application logic.

Inject live X (Twitter) data right into your code with Cursor. Write smarter, not harder.

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Connect X (Twitter) MCP to Cursor

Create your Vinkius account to connect X (Twitter) 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 X (Twitter) with Cursor

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Code Generation using `search_recent_tweets`

When you call the `search_recent_tweets` tool, the agent pulls real public tweets based on your query. Cursor then injects that live data directly into the code block you're writing. You don't get stubs here; you get functional context showing what people are actually saying about a hashtag.

Contextualizing Users with `lookup_user_by_username`

Need to check an account's legitimacy? The `lookup_user_by_username` tool fetches follower counts and bio details. Cursor uses this real API response to inform your code, letting you build logic around verified status or large followings. It keeps the live X (Twitter) context right where your cursor is blinking.

Analyzing Tweet Metrics with `get_tweet_details`

Using `get_tweet_details`, you feed a specific tweet ID into the agent. The tool returns engagement metrics—likes, retweets, and text—which Cursor then uses to write code that analyzes virality. This means your generated functions work with real-world social data.

Setup guide

Set up X (Twitter) 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 X (Twitter) 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 X (Twitter) transactions." If the MCP tools are loaded correctly, Cursor will call the X (Twitter) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "x-twitter-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 X (Twitter). 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 X (Twitter) MCP in Cursor

You let the agent call `search_recent_tweets` and pass in your query string. The resulting public tweet data gets injected live into the code you're currently writing.

Yep. Use `lookup_user_by_username` to check follower counts, bios, and verification status. This helps you write code that depends on accurate user data.

Yes. You can use `get_tweet_details` to pull specific engagement metrics for a given tweet ID and incorporate those numbers directly into your application logic.

The server handles public user profile information, tweet text, follower counts, and specific engagement metrics from X (Twitter).

You're working with structured JSON responses containing public user profile information and tweet text/engagement metrics.

Use it with your favorite AI tools

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

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