Skip to main content

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

smithery badge

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

Metadata

Release files for mseep-pypi-publish-49e8e82122f247c6b62edef23c48241e 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mseep-pypi-publish-49e8e82122f247c6b62edef23c48241e 0.3.0
File Size Uploaded
mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0.tar.gz 861.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for mseep-pypi-publish-49e8e82122f247c6b62edef23c48241e 0.3.0
File Interpreter ABI Platform
mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.7 MB

Release files / mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0.tar.gz

Download URL mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0.tar.gz
Size 861.1 kB
Tags Source
SHA-256 checksum
How to use checksums
68852ed6fcd4ff8e57e9c47cc0ec04459a06e2e4b37218a327d0f003a7b71251
BLAKE2b-256 checksum
How to use checksums
6220a00ccb9508d353bd3bd6f684eb7bbe86256dab51cf22cefedf76246e72de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

Release files / mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0-py3-none-any.whl

Download URL mseep_pypi_publish_49e8e82122f247c6b62edef23c48241e-0.3.0-py3-none-any.whl
Size 859.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a0d475f0710641604cac0620a300c386abf6aee05ce510e95665e80a7fc17e9d
BLAKE2b-256 checksum
How to use checksums
d68004e0e49afa99072a185bbcf7c7bbef327355ed3ee00d4c272d0626d56a44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.11.11

Release history Release notifications | RSS feed

This release

0.3.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page