MCP server
Discord MCP server
A community MCP server that lets AI read and send Discord messages, react, send direct messages and manage channels through a bot.
- Community server
- Communication
At a glance
- Maintained by
- SaseQ (community)
- Tools exposed
- 10 listed below
- Reviewed
- September 24, 2026
Why it matters
What it does and why it matters
Many software products and online communities run support and discussion on Discord. This community MCP server connects an assistant to a Discord server through a bot account. It can read and send messages, edit and delete them, add reactions, send direct messages, read server information, list channels and create text channels.
For community teams, that means summarizing busy channels, spotting unanswered questions and drafting replies.
We did not find an official Discord MCP server, so this is a community server by SaseQ. It acts through a bot token, and the bot's permissions decide what it can do. Give the bot only the channels and permissions it needs, and review the code before use.
Use cases
Best business use cases
Community summaries
Unanswered questions
Announcements
Sentiment checks
Tools
Available tools
Tool names as published by the maintainer at review time. Versions change, so check the repository for the current list.
Read and write: Read and write: messages, channels, roles, moderation, webhooks, events and more (60+ tools). Bot-level access.
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send_messageSend a message to a channel.
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read_messagesRead recent messages from a channel.
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edit_messageEdit a message.
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delete_messageDelete a message.
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add_reactionAdd a reaction to a message.
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send_private_messageSend a direct message to a user.
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get_server_infoGet details about a Discord server.
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list_channelsList channels in a server.
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create_text_channelCreate a text channel.
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get_user_id_by_nameLook up a user ID by username.
Workflows
Example workflows
Daily unanswered questions
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1
The assistant reads the help channel.
-
2
It lists questions without replies.
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3
It drafts answers from your docs.
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4
A moderator reviews them.
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5
Approved replies are posted.
Release announcement
-
1
Share the release notes.
-
2
The assistant drafts a short post.
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3
You edit and approve.
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4
It posts in the announcements channel.
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5
It adds a reaction to invite feedback.
Prompts
Example prompts
“List questions in #help from the last 24 hours with no reply.”
“Summarize the discussion in #feedback this week.”
“Post this approved announcement in #announcements.”
Setup
Installation and configuration
Examples for Claude Desktop and Claude Code. Replace the placeholder values with your own keys, and store secrets outside version control.
Claude Desktop: claude_desktop_config.json
{
"mcpServers": {
"discord-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"DISCORD_TOKEN=<TOKEN>",
"saseq/discord-mcp:latest"
]
}
}
}Claude Code: terminal
claude mcp add discord-mcp --transport http http://localhost:8085/mcp- Local server: docker: saseq/discord-mcp:latest (stdio, or HTTP on http://localhost:8085/mcp with SPRING_PROFILES_ACTIVE=http).
- Needs: Discord bot token (DISCORD_TOKEN). Optional DISCORD_GUILD_ID for a default server..
Security
Security considerations
-
Bot permissions
Give the bot only the permissions and channels it needs.
-
Community code
Review the code and pin the version.
-
Deletes
Deleting messages should need approval.
-
Bot token
Keep the bot token secret and rotate it if exposed.
Related servers
Servers that pair well with it
Slack
Slack's own hosted MCP server lets AI search messages, read channels and threads, look up people, draft or send messages and create canvases.
Microsoft Teams
Microsoft's Teams MCP server, part of its Work IQ preview, lets AI list and read chats and channels and post messages and replies.
Intercom
Intercom's official hosted MCP server lets AI search conversations, contacts, companies and help articles, create articles and add notes.
Keep exploring
Solutions and services that use it
Related services
View all related services- MCP integration Connect AI assistants to your CRM, files, databases and tools through Model Context Protocol servers, with safe permissions.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- AI chatbots Website and messaging chatbots that answer common questions well and hand everything else to a person.
- Voice AI Speech to text, call summaries and voice assistants that take bookings or answer routine calls.
- Third-party integrations Google Workspace, Microsoft 365, accounting, shipping and marketing tools connected to your own software.
Solutions
View all solutions- Email triage Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
- Internal help desk assistant An assistant in Slack or Teams that answers policy and how-to questions from your handbooks and opens tickets when needed.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Feedback analysis Read every review, survey and ticket, group them by theme and sentiment, and show what customers keep asking for.
- Scheduling automation Let customers book, change and confirm appointments themselves, by web, chat or phone, with reminders that cut no-shows.
Industries
View all industries- Vacation rentals Booking websites, owner and guest portals, turnover scheduling and guest messaging for rental operators.
- Hospitality and travel Booking sites, guest messaging, review analysis and multilingual content for hotels, tour operators and travel businesses.
- Home services Booking, dispatch, quotes, invoicing and reviews for plumbers, electricians, cleaners and other home service businesses.
Guides and articles
View all guides and articles- What can AI do for a small business? Practical AI uses for small businesses, from inboxes and documents to customer support, with costs and first steps.
- AI chatbot vs AI agent What separates a chatbot that answers from an agent that acts, and when you need each.
- AI automation vs traditional automation How rule-based automation and AI automation differ, where each fits and how to combine them.
- How to build an AI workflow with MCP servers Plan, connect and test an AI workflow that uses MCP servers, from a single task to a reliable process.
AI models
View all ai models- Claude Haiku 4.5 Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
- Deepgram Nova-3 and Flux Deepgram's speech-to-text models: Nova-3 for general transcription in 60+ languages, and Flux for voice agents with built-in end-of-turn detection.
- ElevenLabs Eleven v3 ElevenLabs text-to-speech: the expressive Eleven v3 in 70+ languages, a real-time conversational version, and the low-latency Flash models, with voice cloning.
- GPT Transcribe OpenAI's current speech-to-text model, replacing Whisper and the GPT-4o transcribe models, with streaming and keyword or language hints.
- GPT-4o mini TTS OpenAI's current text-to-speech model for turning text into natural spoken audio, at a low price level.
- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
Glossary terms
View all glossary terms- Chatbot A chatbot is software that holds a conversation with people through text or voice, answering questions or completing simple tasks.
- Natural language processing Natural language processing is the field of AI that deals with understanding and generating human language, in text or speech.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- Zero-shot classification Zero-shot classification is sorting text or images into categories an AI model was not specifically trained on, using only the category names or descriptions.
- Fine-tuning Fine-tuning is further training an existing AI model on your own examples so it learns a specific style, format or task.
- System prompt A system prompt is the standing set of instructions an application gives an AI model, defining its role, rules and style for every conversation.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
We did not find one at review time. This is a community server.
Through a Discord bot account and token.
Yes, if the bot has permission. Limit that permission.