AutomationFlowsAI & RAG › Control Your Discord Server with Natural Language via Gpt4o and Mcp Client

Control Your Discord Server with Natural Language via Gpt4o and Mcp Client

ByDavid Ashby @cfomodz on n8n.io

What it is- Very simple connection to your Discord MCP Server and 4o.

Chat trigger trigger★★☆☆☆ complexityAI-powered7 nodesAgentChat TriggerOpenAI ChatMcp Client Tool
AI & RAG Trigger: Chat trigger Nodes: 7 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #3945 — we link there as the canonical source.

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "id": "xRclXA5QzrT3c6U8",
  "name": "Discord MCP Chat Agent",
  "tags": [],
  "nodes": [
    {
      "id": "3c008773-802c-461c-9350-f42dc5f3969c",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        100,
        -440
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.9
    },
    {
      "id": "9b5bd212-19bc-4303-a934-b783f7cb5ea7",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -160,
        -440
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "32a7152e-47ea-4859-aa35-f220a69ddb0d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        20,
        -240
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "bc9204f7-0116-43cc-947d-8d2b883fc2c3",
      "name": "Discord MCP Client",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
        340,
        -240
      ],
      "parameters": {
        "sseEndpoint": "http://localhost:5678/mcp/404f083e-f3f4-4358-83ef-9804099ee253/sse"
      },
      "typeVersion": 1
    },
    {
      "id": "e42dc3a5-5463-4198-b691-ff8e9d6fc892",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -340,
        -700
      ],
      "parameters": {
        "width": 280,
        "height": 360,
        "content": "## Natural Language Input\nYou can call from another workflow, hit the chat endpoint, or even hit from another Discord bot if you wanted to! Any natural language command should work fine - let me know if you manage to break something and I will look at updating the template!"
      },
      "typeVersion": 1
    },
    {
      "id": "c44b730e-fe1b-4290-a26e-aed04852ccdc",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        20,
        -700
      ],
      "parameters": {
        "width": 220,
        "height": 540,
        "content": "## Tool enabled agent\nIf you are going to swap the model out, just make sure that it's one that can handle tools. No special system prompt should be needed for the large cloud models, if you go with a quantized model via Ollama then you might need to coax it a bit."
      },
      "typeVersion": 1
    },
    {
      "id": "8761f368-e20a-48ab-bfff-1d4e6401d269",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        340,
        -700
      ],
      "parameters": {
        "height": 540,
        "content": "## Discord MCP Client/Server\nThis is totally customizable (you can connect it to any MCP server by changing the URL), but if you need a starting point, you can check out my \"Manage your discord server with natural language from anywhere\" template as a starting point."
      },
      "typeVersion": 1
    }
  ],
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "cdc83b62-051a-4a98-8d25-3637b3da0523",
  "connections": {
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Discord MCP Client": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

What it is- Very simple connection to your Discord MCP Server and 4o.

Source: https://n8n.io/workflows/3945/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

Build an MCP server with Airtable. Uses chatTrigger, agent, memoryBufferWindow, mcpClientTool. Chat trigger; 13 nodes.

Chat Trigger, Agent, Memory Buffer Window +4
AI & RAG

Build an MCP server with Airtable. Uses chatTrigger, agent, memoryBufferWindow, mcpClientTool. Chat trigger; 13 nodes.

Chat Trigger, Agent, Memory Buffer Window +4
AI & RAG

This template is designed for anyone who wants to integrate MCP with their AI Agents using Airtable. Whether you're a developer, a data analyst, or an automation enthusiast, if you're looking to lever

Chat Trigger, Agent, Memory Buffer Window +4
AI & RAG

This n8n template can setup a embeddable web chat widget for your Shopify store. A user sends a message in the n8n Chat UI (public chat trigger). The AI Agent interprets the request. The agent calls C

Memory Buffer Window, Agent, OpenAI Chat +2
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Chat Trigger, Agent, OpenAI Chat +3