pashpashpash

Discord MCP Server

Community pashpashpash
Updated

Discord integration for Model Context Protocol

Discord MCP Server

A Model Context Protocol (MCP) server that provides Discord integration capabilities to MCP clients like Claude Desktop.

Features

Server Information

  • get_server_info: Get detailed server information
  • list_members: List server members and their roles

Message Management

  • send_message: Send a message to a channel
  • read_messages: Read recent message history
  • add_reaction: Add a reaction to a message
  • add_multiple_reactions: Add multiple reactions to a message
  • remove_reaction: Remove a reaction from a message
  • moderate_message: Delete messages and timeout users

Channel Management

  • create_text_channel: Create a new text channel
  • delete_channel: Delete an existing channel

Role Management

  • add_role: Add a role to a user
  • remove_role: Remove a role from a user

Webhook Management

  • create_webhook: Create a new webhook
  • list_webhooks: List webhooks in a channel
  • send_webhook_message: Send messages via webhook
  • modify_webhook: Update webhook settings
  • delete_webhook: Delete a webhook

Prerequisites

  1. Set up your Discord bot:

    • Create a new application at Discord Developer Portal
    • Create a bot and copy the token
    • Enable required privileged intents:
      • MESSAGE CONTENT INTENT
      • PRESENCE INTENT
      • SERVER MEMBERS INTENT
    • Invite the bot to your server using OAuth2 URL Generator
  2. Python Requirements:

    • Python 3.8 or higher
    • pip (Python package installer)

Installation

  1. Clone the Repository:

    git clone https://github.com/pashpashpash/mcp-discord.git
    cd mcp-discord
    
  2. Create and Activate Virtual Environment:

    # On Windows
    python -m venv venv
    venv\Scripts\activate
    
    # On macOS/Linux
    python -m venv venv
    source venv/bin/activate
    
  3. Install Dependencies:

    pip install -e .
    

    Note: If using Python 3.13+, also install audioop: pip install audioop-lts

  4. Configure Claude Desktop:

Add this to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "discord": {
      "command": "python",
      "args": ["-m", "mcp_discord"],
      "cwd": "path/to/mcp-discord",
      "env": {
        "DISCORD_TOKEN": "your_bot_token"
      }
    }
  }
}

Note:

  • Replace "path/to/mcp-discord" with the actual path to your cloned repository
  • Replace "your_bot_token" with your Discord bot token

Debugging

If you run into issues, check Claude Desktop's MCP logs:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Common issues:

  1. Token Errors:

    • Verify your Discord bot token is correct
    • Check that all required intents are enabled
  2. Permission Issues:

    • Ensure the bot has proper permissions in your Discord server
    • Verify the bot's role hierarchy for role management commands
  3. Installation Issues:

    • Make sure you're using the correct Python version
    • Try recreating the virtual environment
    • Check that all dependencies are installed correctly

License

MIT License - see LICENSE file for details.

Note: This is a fork of the original mcp-discord repository.

MCP Server ยท Populars

MCP Server ยท New

    SystemCraftsman

    Strimzi Kafka CLI

    Command Line Interface for the Strimzi Kafka Operator

    Community SystemCraftsman
    DROOdotFOO

    Raxol

    Write one app, render it to a terminal, a browser, or as agent tools. The terminal for your Gundam.

    Community DROOdotFOO
    morluto

    REA: Reverse Engineer Anything

    Reverse engineer anything with agents, from app behavior down to native binaries.

    Community morluto
    nedlir

    MCPwner

    Model Context Protocol server for autonomous vulnerability discovery

    Community nedlir
    codegraph-ai

    CodeGraph

    CodeGraph builds a semantic graph of your codebase โ€” functions, classes, imports, call chains โ€” and exposes it through 42 MCP tools, 38 languages, a VS Code extension, and a persistent memory layer. AI agents get structured code understanding instead of grepping through files.

    Community codegraph-ai