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2025-04-05

模型上下文协议服务器,用于QANON的社会学研究

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QAnon is a dangerous cult. This archive is for research purposes only, and I do not endorse any material in this repo.

Q-Anon Posts/Drops MCP Server

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An MCP (Model Context Protocol) server that provides access to a dataset of Q-Anon posts for anthropological/sociological research. This server allows AI assistants like Claude to search, filter, and analyze the Q-Anon drops.

Posts are drawn from https://github.com/jkingsman/JSON-QAnon. You can learn more about how the source data was composed there, as well as find alternate formats, schemas, etc.

Warning: This tool was entirely vibe coded. Use at your own risk.

Prerequisites

  • Python 3.10 or higher
  • uv package manager
  • Claude Desktop (for Claude integration)

Installation

This tool is compatible with uvx and doesn't need to be cloned/installed.

Installing via Smithery

To install qanon-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @jkingsman/qanon-mcp-server --client claude

Manual

  1. Clone or download this repository to your local machine
  2. Install the required packages using uv:
uv pip install -e .

Usage

You can run the server directly with uvx:

uvx qanon_mcp

Claude Desktop Integration

To use this MCP server with Claude Desktop:

  1. Make sure you have Claude Desktop installed
  2. Open the Claude menu and select "Settings..."
  3. Click on "Developer" in the left-hand bar and then "Edit Config"
  4. Add the following configuration to the claude_desktop_config.json file:
{
  "mcpServers": {
    "qanon_mcp": {
      "command": "uvx",
      "args": [
        "qanon_mcp"
      ]
    }
  }
}

or, if you don't have uvx installed:

{
  "mcpServers": {
    "qanon_mcp": {
      "command": "uv",
      "args": [
        "tool",
        "run",
        "qanon_mcp"
      ]
    }
  }
}
  1. Save the file and restart Claude Desktop
  2. Start a new conversation in Claude Desktop
  3. You should see a hammer icon in the input box, indicating that tools are available

Features

Resources

  • qanon://posts/count - Get the total number of posts
  • qanon://posts/{post_id} - Access a specific post by ID
  • qanon://posts/raw/{post_id} - Get the raw JSON data for a specific post
  • qanon://authors - List all unique authors
  • qanon://stats - Get dataset statistics

Tools

  • get_post_by_id_tool - Retrieve a specific post by its ID
  • search_posts - Find posts containing specific keywords or phrases
  • get_posts_by_date - Retrieve posts from a specific date range
  • get_posts_by_author_id - Find posts by a specific author ID
  • analyze_post - Get detailed analysis of a specific post including references and context
  • get_timeline_summary - Generate a chronological timeline, optionally within a date range
  • word_cloud_by_post_ids - Generate a word frequency analysis for posts within a specified ID range
  • word_cloud_by_date_range - Generate a word frequency analysis for posts within a specified date range

Example Queries for Claude

Once the MCP server is connected to Claude Desktop, you can ask questions like:

  • "How many Q-Anon posts are in the dataset?"
  • "Search for posts that mention 'storm'"
  • "Show me posts from October 2020"
  • "Analyze post #3725"
  • "Create a timeline of Q-Anon posts from 2018"
  • "Generate a word cloud for Q-Anon posts between January and March 2019"
  • "Get the raw data for post #4500"
  • "What are the most common words used in posts #1000-2000?"

Troubleshooting

  • If Claude Desktop doesn't show the hammer icon, check your configuration and restart Claude Desktop
  • Ensure the posts.json file is in the same directory as the script
  • Check the output in the terminal for any error messages
  • Make sure you're using the absolute path to the script in your Claude Desktop configuration

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    Reviews

    3 (1)
    Avatar
    user_M0y39SuZ
    2025-04-16

    The qanon-mcp-server by jkingsman is an exceptional tool for managing MCP applications. Its intuitive design and extensive features make it a must-have for any MCP enthusiast. The seamless integration and robust performance are truly commendable. Highly recommend checking it out on GitHub!