communicationdeveloper-tools

Discord

aj-geddes

by aj-geddes

Integrates with Discord API for advanced server management—messaging, moderation, roles, events & more via 46+ tools. Re

Integrates with Discord's API to provide server management capabilities including messaging, moderation, role management, event scheduling, and community administration through 46+ specialized tools with robust error handling and deployment support.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

80+ Discord API toolsBot and user authentication modesBulk operations support

best for

  • / Discord server administrators
  • / Community managers automating moderation
  • / Developers building Discord bots
  • / Teams managing large Discord communities

capabilities

  • / Manage Discord channels and roles
  • / Handle messages and bulk operations
  • / Control voice channels and permissions
  • / Schedule events and automate workflows
  • / Execute moderation actions
  • / Configure webhooks and bots

what it does

Provides complete Discord API integration with 80+ tools for server automation, moderation, and management through bot or user authentication modes.

about

Discord is a community-built MCP server published by aj-geddes that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrates with Discord API for advanced server management—messaging, moderation, roles, events & more via 46+ tools. Re It is categorized under communication, developer tools.

how to install

You can install Discord in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Discord is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Discord Agent MCP

Documentation License: MIT Node.js MCP

AI-Powered Discord Server Management - A production-ready Model Context Protocol (MCP) server with 71 tools for comprehensive Discord automation through Claude AI.


Documentation

View Full Documentation →


What Is This?

Discord Agent MCP bridges Claude AI with Discord, letting you manage your server through natural language. Instead of clicking through Discord's interface or writing code, just tell Claude what you want:

"Create a gaming community server with voice channels for different games,
a welcome channel, and moderator roles"

Claude handles the rest using the 71 Discord management tools provided by this MCP server.


Features

71 Discord Tools

CategoryToolsDescription
Messaging10Send, edit, delete, react, pin messages
Channels10Create, modify, delete channels and permissions
Threads3Create and manage forum threads
Server7Settings, webhooks, invites, audit logs
Members3Info, listings, nicknames
Roles7Create, assign, modify roles
Moderation6Kick, ban, timeout, manage bans
Emojis4Custom emoji management
Stickers4Custom sticker management
Events6Scheduled events
Auto-Mod5Automatic moderation rules
Commands6Slash command management

Production Ready

  • Persistent Connection: Robust Discord.js client with automatic reconnection
  • Type Safe: Full TypeScript with Zod validation
  • Comprehensive Errors: Detailed error messages with resolution guidance
  • Structured Logging: JSON logging with configurable levels
  • Flexible Deployment: Local, Docker, or Kubernetes

Claude Code Integration

First-class support for Anthropic's Claude Code CLI:

claude mcp add --transport http discord-agent http://localhost:3000/mcp

Quick Start

1. Prerequisites

2. Install

git clone https://github.com/aj-geddes/discord-agent-mcp.git
cd discord-agent-mcp
npm install

3. Configure

cp .env.example .env
# Edit .env and add your DISCORD_TOKEN

4. Run

npm run build
npm start
# Server runs at http://localhost:3000/mcp

5. Connect to Claude Code

claude mcp add --transport http discord-agent http://localhost:3000/mcp

Full Setup Guide →


Deployment Options

Docker

docker build -t discord-mcp-server:latest .
docker run -d -p 3000:3000 -e DISCORD_TOKEN=your_token discord-mcp-server:latest

Docker Compose

version: '3.8'
services:
  discord-mcp:
    build: .
    ports:
      - "3000:3000"
    environment:
      - DISCORD_TOKEN=${DISCORD_TOKEN}
    restart: unless-stopped

Kubernetes

kubectl apply -f k8s/

Full Deployment Guide →


Configuration

VariableRequiredDefaultDescription
DISCORD_TOKENYes-Discord bot token
TRANSPORT_MODENohttphttp or stdio
HTTP_PORTNo3000Server port
LOG_LEVELNoinfodebug, info, warn, error

Example Usage

Once connected, use natural language in Claude Code:

Server Setup:

"Set up a gaming community with channels for Minecraft, Valorant, and general chat"

Moderation:

"Timeout user 123456789 for 1 hour for spam"

Events:

"Create a voice event called 'Game Night' for Saturday at 8 PM"

Automation:

"Set up auto-moderation to block spam and timeout repeat offenders"

Security

  • Never commit tokens - Use .env files (gitignored)
  • Rotate tokens - Regenerate periodically
  • Least privilege - Only grant necessary permissions
  • Audit logs - Monitor bot actions

Contributing

Contributions welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Test with a development Discord server
  4. Submit a pull request

See CONTRIBUTING.md for guidelines.


Resources


License

MIT License - See LICENSE for details.


<p align="center"> <strong>Discord Agent MCP</strong> - AI-Powered Discord Server Management <br> Built with TypeScript, Discord.js, and the Model Context Protocol </p>

FAQ

What is the Discord MCP server?
Discord is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Discord?
This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.635 reviews
  • Chen Yang· Dec 12, 2024

    According to our notes, Discord benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Chen Wang· Dec 8, 2024

    Useful MCP listing: Discord is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Dhruvi Jain· Dec 4, 2024

    We wired Discord into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Naina Nasser· Dec 4, 2024

    Discord has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Chen Chen· Nov 27, 2024

    Discord reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Oshnikdeep· Nov 23, 2024

    Strong directory entry: Discord surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Ren Mensah· Nov 3, 2024

    I recommend Discord for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Neel Ramirez· Oct 22, 2024

    We evaluated Discord against two servers with overlapping tools; this profile had the clearer scope statement.

  • Neel Sanchez· Oct 18, 2024

    We wired Discord into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ganesh Mohane· Oct 14, 2024

    Useful MCP listing: Discord is the kind of server we cite when onboarding engineers to host + tool permissions.

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