Discord MCP Server

AI Discord Automation Integration

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FlowHunt provides an additional security layer between your internal systems and AI tools, giving you granular control over which tools are accessible from your MCP servers. MCP servers hosted in our infrastructure can be seamlessly integrated with FlowHunt's chatbot as well as popular AI platforms like ChatGPT, Claude, and various AI editors.

What does “Discord” MCP Server do?

The Discord MCP Server is a component within the Klavis-AI platform that acts as a bridge between AI assistants and Discord, enabling seamless integration and automation within Discord environments. By exposing Discord functionalities through the Model Context Protocol (MCP), it allows AI agents to interact with Discord servers, perform actions such as sending messages, retrieving information, or managing channels, and enhance development workflows. This integration streamlines tasks like automating server management, handling user interactions, and connecting Discord data to external tools or APIs, thereby supporting robust and flexible development processes for users who rely on Discord as a communication hub.

Use Cases of this MCP Server

  • Automated Discord Server Management
    Enable AI agents to automate administrative tasks such as moderating channels, managing permissions, or onboarding users, reducing manual effort for server admins.

  • Message Automation and Notifications
    Automatically send announcements, reminders, or alerts to specific Discord channels based on triggers from other applications or internal workflows.

  • User Interaction and Data Collection
    Collect feedback, run polls, or handle user queries by integrating conversational AI within Discord, improving community engagement and support.

  • Integration with External APIs
    Connect Discord activity with external systems (e.g., databases, project management tools) to trigger workflows or log important events, enhancing operational efficiency.

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How to set it up

Windsurf

  1. Ensure Node.js is installed on your system.
  2. Open your Windsurf configuration file.
  3. Add the Discord MCP Server to the mcpServers section using the following JSON snippet:
    {
      "mcpServers": {
        "discord": {
          "command": "npx",
          "args": ["@discord/mcp-server@latest"]
        }
      }
    }
    
  4. Save your configuration and restart Windsurf.
  5. Verify that the Discord MCP Server is running from the Windsurf dashboard.

Claude

  1. Install Node.js as a prerequisite.
  2. Locate Claude’s configuration file, typically named claude.config.json.
  3. Insert the Discord MCP Server configuration as shown below:
    {
      "mcpServers": {
        "discord": {
          "command": "npx",
          "args": ["@discord/mcp-server@latest"]
        }
      }
    }
    
  4. Save changes and restart Claude.
  5. Confirm the MCP Server appears in Claude’s interface.

Cursor

  1. Make sure Node.js is available on your machine.
  2. Open the Cursor configuration settings.
  3. Add the Discord MCP Server:
    {
      "mcpServers": {
        "discord": {
          "command": "npx",
          "args": ["@discord/mcp-server@latest"]
        }
      }
    }
    
  4. Save and restart Cursor.
  5. Check that the Discord MCP integration is active.

Cline

  1. Install Node.js if not already installed.
  2. Find and edit the Cline MCP server configuration.
  3. Add the Discord MCP Server configuration:
    {
      "mcpServers": {
        "discord": {
          "command": "npx",
          "args": ["@discord/mcp-server@latest"]
        }
      }
    }
    
  4. Save the configuration and restart Cline.
  5. Verify that the Discord MCP server is functioning.

Securing API Keys To securely manage API keys, use environment variables. Example configuration:

{
  "mcpServers": {
    "discord": {
      "command": "npx",
      "args": ["@discord/mcp-server@latest"],
      "env": {
        "DISCORD_API_KEY": "${DISCORD_API_KEY}"
      },
      "inputs": {
        "DISCORD_API_KEY": "your-discord-api-key"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

FlowHunt MCP flow

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "discord": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “discord” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.


Overview

SectionAvailabilityDetails/Notes
Overview
List of PromptsNot found
List of ResourcesNot found
List of ToolsNot found
Securing API Keys
Sampling Support (less important in evaluation)Not found

Based on the information available, the Discord MCP Server provides a good overview and setup instructions, but lacks details on prompts, resources, and tools. As such, it is functional but not fully documented for broader use.

MCP Score

Has a LICENSE⛔ (not found)
Has at least one tool
Number of ForksNot found
Number of StarsNot found

Rating:
Based on the above tables, I would rate this MCP server a 2 out of 10 for documentation and completeness, as setup instructions are provided but most core MCP features and technical details are missing from the available information.

Frequently asked questions

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