Twitter Trends

Provides real-time Twitter trends analysis via Claude integration for business opportunities.

python

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "muralikrishankp-twitter-mcp-server-for-claude": {
      "command": "C:\\\\Users\\\\YOUR_USERNAME\\\\twitter-trends-mcp\\\\.venv\\\\Scripts\\\\python.exe",
      "args": [
        "C:\\\\Users\\\\YOUR_USERNAME\\\\twitter-trends-mcp\\\\twitter_server_run.py"
      ],
      "env": {
        "PYTHONPATH": "C:\\\\Users\\\\YOUR_USERNAME\\\\twitter-trends-mcp\\\\src",
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}

You can run a Python-based MCP server that fetches real-time Twitter trends and analyzes them with Claude, exposing a programmable interface for resources and tools. This server helps you automatically pull trends, feed them into Claude for business insights, and respond with structured outputs for your client applications.

How to use

You interact with the Twitter Trends MCP Server through an MCP client. Start the local server, connect via the MCP workflow, and use the available resources and tools to fetch current Twitter trends and run Claude-based analyses. The server exposes endpoints to list resources, read a resource, list tools, and call tools to perform analyses. Use the client to request trend data, then pass those trends into Claude through the provided tool execution process to obtain business insights.

Practical usage patterns include: - Listing available resources to understand what data you can fetch (e.g., trends) - Reading a specific resource to retrieve current trend data - Listing available tools to see what Claude-based analyses you can trigger - Calling a tool with the desired analysis name and parameters to receive Claude-generated insights in a structured format.

How to install

Prerequisites: - Python 3.8 or higher - Claude Desktop installed - Twitter Developer Account with API access - Basic knowledge of Python.

Step-by-step setup and run flow: - Create a project directory for the MCP server. - Set up a Python virtual environment. - Install required packages. - Prepare the MCP server code and configuration. - Run the local MCP server. - Configure Claude Desktop to connect to the MCP server.

Additional sections

Configuration details and run commands are provided below to help you get started quickly and securely. Follow the exact commands to ensure proper MCP server operation.

Configuration and run details

{
  "mcpServers": {
    "twitter-trends": {
      "type": "stdio",
      "name": "twitter_trends",
      "command": "C:\\Users\\YOUR_USERNAME\\twitter-trends-mcp\\.venv\\Scripts\\python.exe",
      "args": ["C:\\Users\\YOUR_USERNAME\\twitter-trends-mcp\\twitter_server_run.py"],
      "env": {
        "PYTHONPATH": "C:\\Users\\YOUR_USERNAME\\twitter-trends-mcp\\src",
        "PYTHONUNBUFFERED": "1"
      },
      "cwd": "C:\\Users\\YOUR_USERNAME\\twitter-trends-mcp"
    }
  }
}
```"} ,{

Notes: - Use absolute paths for all file references. - Ensure your Python environment and dependencies are properly installed before running. - The server will log to twitter_server.log to help with troubleshooting.

Available tools

list_resources

Return the list of available resources the MCP server can expose, such as current Twitter trends and related data.

read_resource

Read and return the content of a specific resource identified by its URI.

list_tools

Provide the list of tools that can be invoked for analysis, including Claude-based analyses.

call_tool

Invoke a specific tool by name with given arguments and receive the analysis results from Claude.

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