What is Qanon Mcp Server

qanon-mcp-server is a Model Context Protocol server designed for sociological research into QAnon, providing access to a dataset of QAnon posts for analysis by AI assistants.

Use cases

Use cases include analyzing the rhetoric and themes of QAnon posts, studying the social dynamics of QAnon communities, and conducting research on the impact of misinformation.

How to use

To use qanon-mcp-server, install it via Smithery or manually clone the repository, install the required packages, and run the server using ‘uvx qanon_mcp’. For integration with Claude Desktop, configure the ‘claude_desktop_config.json’ file accordingly.

Key features

Key features include access to a comprehensive dataset of QAnon posts, the ability to search, filter, and analyze data using AI assistants, and compatibility with Python 3.10 or higher.

Where to use

qanon-mcp-server is primarily used in academic and research settings, particularly in fields like sociology, anthropology, and media studies focused on the QAnon phenomenon.

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

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"
      ]
    }
  }
}

5. Save the file and restart Claude Desktop
6. Start a new conversation in Claude Desktop
7. 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