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Discord MCP Server

MCP Server

LLMs that chat, read, and manage Discord channels safely

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Updated 12 days ago

About

An MCP server enabling large language models to send, read, and discover messages in Discord channels via the Discord API, with built‑in security and user approval for message posting.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Discord MCP Server Overview

The Discord MCP server bridges the gap between conversational AI assistants and real‑time communication on Discord. By exposing a set of tools that can read from and write to Discord channels, the server enables assistants such as Claude to participate in live discussions, post updates, or retrieve recent conversation history—all while keeping the user in full control of what is sent and received. This capability turns a static chatbot into an active collaborator that can monitor project channels, deliver notifications, or answer questions based on the latest messages in a workspace.

At its core, the server implements two primary actions: send‑message and read‑messages. The former allows an assistant to post arbitrary text into a specified channel, identified either by name or ID, and optionally scoped to a particular server when the bot belongs to multiple guilds. The latter fetches recent messages, with configurable limits, enabling the assistant to contextualize user queries or summarize ongoing discussions. Both tools incorporate robust validation and error handling, ensuring that attempts to access unavailable channels or servers are gracefully reported rather than causing crashes.

Key capabilities include automatic discovery of servers and channels that the bot has access to, which simplifies configuration for developers who may not know every channel ID in advance. Permissions are strictly enforced: the bot requires read and write scopes on Discord, and every message‑sending operation is gated behind explicit user approval. This design protects against accidental spam or data leaks while still allowing seamless interaction when the user consents.

Real‑world use cases abound. In a software team, an assistant could automatically post build status updates to the “#build‑alerts” channel or pull the last few messages from a bug‑tracking thread to provide context before answering a user query. Community managers might use the server to surface recent member questions in a public channel or to schedule announcements without manual intervention. The integration fits naturally into existing MCP workflows: developers add the Discord server to their configuration, then invoke the tools via the standard tool‑invocation JSON format that MCP clients expect.

What sets this server apart is its focus on security and user agency. All outgoing messages require explicit approval, and the server exposes only channels that the bot can legitimately access, preventing accidental exposure of private conversations. Additionally, by leveraging Discord’s native API and keeping all credentials in environment variables, the server remains lightweight while providing a powerful channel for AI assistants to engage with human teams in real time.