How to Use the X (Twitter) MCP in Cline

Q: How do I use X (Twitter) search results in Cline?

You call searchrecenttweets and get a structured JSON output. Because Cline is an end-to-end agent, you can immediately pipe that result into a file or pass it to another function to process the data.

Q: Can Cline handle X (Twitter) user lookups?

Yes, lookupuserbyusername handles this. You write the function call in your component code, and Cline executes it, giving you a predictable output object for building out your dashboards.

Q: Is the MCP Server suitable for X (Twitter) testing with Cline?

Absolutely. Using gettweetdetails allows you to simulate fetching specific tweet engagement metrics within your test suite, proving that your data imports work correctly before deployment.

Build dashboards and test social data pipelines with Cline's MCP Server integration.

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Connect X (Twitter) MCP to Cline

Create your Vinkius account to connect X (Twitter) to Cline 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 Cline

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Code User Lookups with the MCP Server

The `lookup_user_by_username` tool retrieves user profile data. You can call this function within your code to fetch follower counts, bio information, and verification status for any given @username. Cline ensures the API response is immediately available as a typed object in your project.

Execute Tweet Searches with the MCP Server

`search_recent_tweets` lets you pull recent public tweets using keywords or hashtags. This data stream fits perfectly into a CI/CD pipeline, letting you test how your application handles real-time social media input. You just pass the query string to Cline.

Process Tweet Metrics in Code

To get specific metrics, use `get_tweet_details` with a numeric ID. It returns both the full tweet text and its engagement data points. This mechanism is perfect for writing unit tests that validate how your dashboard components consume external API calls.

Setup guide

Set up X (Twitter) MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type x-twitter-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest X (Twitter) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "x-twitter-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 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 Cline

You call `search_recent_tweets` and get a structured JSON output. Because Cline is an end-to-end agent, you can immediately pipe that result into a file or pass it to another function to process the data.

Yes, `lookup_user_by_username` handles this. You write the function call in your component code, and Cline executes it, giving you a predictable output object for building out your dashboards.

Absolutely. Using `get_tweet_details` allows you to simulate fetching specific tweet engagement metrics within your test suite, proving that your data imports work correctly before deployment.

This server touches user profile data, numeric Tweet IDs, and raw tweet text. You'll get all these inputs when building out your social intelligence pipelines in Cline.

You add the MCP Server to your project dependencies. Then, you use typed code calls—like calling `search_recent_tweets`—which forces you to handle all data types correctly and makes testing simple.

Use it with your favorite AI tools

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