Twikit MCP server

Integrate with X (Twitter) for social media data analysis.
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Provider
Adhika Setya Pramudita
Release date
Dec 15, 2024
Language
Python
Stats
162 stars

This MCP server provides a convenient way to interact with Twitter through the Model Context Protocol, allowing AI models to search Twitter and retrieve timeline information.

Installation

Installing via Smithery

To install Twikit Twitter Search for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-twikit --client claude

Manual Installation

To manually install the MCP server, create a configuration file with the following content:

{
    "mcpServer": {
        "command": "uvx",
        "args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],
        "env": {
            "TWITTER_USERNAME": "@example",
            "TWITTER_EMAIL": "[email protected]",
            "TWITTER_PASSWORD": "secret"
        }
    }
}

Make sure to replace the placeholder Twitter credentials with your actual account information.

Usage Examples

Searching Twitter

You can search for tweets directed at specific accounts to analyze sentiment. Here's an example using the mcp-client-cli:

llm compare 20 latest tweet directed @IndiHomeCare, @di_cbn, @BiznetHome, @ID_MyRepublic. What are people sentiment to the product? Do 1 search for each account

This will:

  • Search for the 20 latest tweets directed at each specified account
  • Analyze the sentiment of these tweets
  • Provide a summary of user opinions about each service provider

Accessing Your Timeline

You can also retrieve and analyze tweets from your own Twitter timeline:

llm what is happening on my twitter timeline?

This command will:

  • Fetch the latest tweets from your timeline
  • Provide a summary of key highlights
  • Organize the information by categories (professional updates, notable tweets, etc.)

The AI will use the MCP server to retrieve the requested Twitter data and then present it in a structured, easy-to-understand format.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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