youngsecurity
MCP Serveryoungsecuritypublic

discord_vector_db

A tool for retrieving Discord messages and storing them in a vector database for semantic search and analysis.

Repository Info

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Python
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-
License

About This Server

A tool for retrieving Discord messages and storing them in a vector database for semantic search and analysis.

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Discord Message Vector DB

A tool for retrieving Discord messages and storing them in a vector database for semantic search and analysis.

Overview

This project provides a secure, privacy-respecting way to retrieve messages from Discord channels using the Discord MCP Server, process them for privacy concerns, and store them in a vector database (ChromaDB) for semantic search and analysis.

Features

  • Robust Message Retrieval: Fetch all messages from Discord channels with pagination support
  • Privacy Protection: PII detection and redaction, opt-out registry
  • Resilient Design: Checkpointing, error recovery, and circuit breaker patterns
  • Vector Database Integration: Convert messages to embeddings for semantic search
  • Ethical Considerations: Built-in privacy controls and data minimization

Installation

# Clone the repository
git clone https://github.com/yourusername/discord_vector_db.git
cd discord_vector_db

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Usage

Basic Usage

from discord_retriever.fetcher import DiscordMessageFetcher

# Initialize fetcher
fetcher = DiscordMessageFetcher(
    channel_id="731607577481314359",
    save_directory="messages"
)

# Retrieve all messages
fetcher.fetch_all()

Processing for Vector Database

from discord_retriever.processor import process_for_vector_db

# Process messages and add to vector database
collection = process_for_vector_db(
    messages_directory="messages",
    collection_name="discord_messages"
)

# Search for semantically similar messages
results = collection.query(
    query_texts=["tell me about security concerns"],
    n_results=5
)

Command Line Interface

# Fetch messages from a Discord channel
python -m discord_retriever.cli fetch --channel-id 731607577481314359 --save-dir messages

# Process messages for vector database
python -m discord_retriever.cli process --messages-dir messages --collection discord_messages

# Search for messages
python -m discord_retriever.cli search --collection discord_messages --query "security concerns"

Ethical Considerations

This tool is designed with privacy and ethics in mind:

  • All personal identifiable information (PII) can be automatically redacted
  • Users can opt-out of having their messages processed
  • Data minimization principles are applied by default
  • Secure storage options for sensitive data

License

MIT

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for details.

Quick Start

1

Clone the repository

git clone https://github.com/youngsecurity/discord_vector_db
2

Install dependencies

cd discord_vector_db
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Owneryoungsecurity
Repodiscord_vector_db
LanguagePython
License-
Last fetched8/10/2025

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