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Discord MCP Server

MCP Server

Send messages to Discord via a standardized MCP API

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Updated May 7, 2025

About

A lightweight MCP server that forwards text or markdown messages to a Discord webhook, configurable via environment variables or command‑line arguments and featuring automatic error handling and retries.

Capabilities

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

Discord MCP Server in Action

Overview

The Mcp Discord Webhook Server is a lightweight, MCP‑compatible service that bridges AI assistants to Discord channels via webhooks. By exposing a standardized tool, it allows Claude or other MCP clients to publish text and Markdown content directly into Discord without needing custom integrations. This solves the common problem of integrating AI-generated output into team communication platforms, enabling instant feedback loops and real‑time collaboration.

The server is built on FastAPI and runs behind Uvicorn, providing a fast, asynchronous HTTP endpoint that accepts MCP requests. Configuration is intentionally simple: the Discord webhook URL can be supplied either through an environment variable () or as a command‑line argument. Once the server is running, any MCP client can call , passing a required string and an optional flag (defaulting to ). The service handles the conversion of Markdown syntax into Discord‑compatible formatting and ensures that messages are delivered reliably.

Key capabilities include:

  • Standardized API: The tool follows MCP conventions, making it immediately usable by any client that supports the protocol.
  • Error handling and retries: The server automatically detects common failure modes such as invalid webhook URLs, network hiccups, or unsupported message types, and it retries transmissions where appropriate.
  • Flexible configuration: Users can toggle settings via environment variables or command‑line flags, enabling seamless deployment in CI/CD pipelines, Docker containers, or local development environments.
  • Extensibility: While the current implementation focuses on Discord webhooks, the architecture can be extended to support additional messaging platforms or richer payloads with minimal changes.

Typical use cases include:

  • AI‑powered notification systems: An assistant can send alerts, summaries, or status updates to a Discord channel whenever a model completes a task.
  • Real‑time debugging: Developers can stream log excerpts or error messages directly into a Discord channel for instant triage.
  • Interactive workflows: Teams can trigger AI actions via chat commands and receive responses back in the same channel, creating a conversational loop that integrates seamlessly with existing Discord workflows.

By providing a ready‑made MCP interface to Discord, this server eliminates the need for custom webhook handling code in AI projects. Developers can focus on building intelligent features while relying on the server to handle communication, reliability, and format translation—making it a valuable component in any AI‑enabled development pipeline.