AutomationFlowsAI & RAG › Workflow Domino Mattermost (example)

Workflow Domino Mattermost (example)

Workflow Domino Mattermost (Example). Uses mattermost, agent, mcpClientTool, lmChatOpenAi. Webhook trigger; 7 nodes.

Webhook trigger★★★★☆ complexityAI-powered7 nodesMattermostAgentMcp Client ToolOpenAI Chat
AI & RAG Trigger: Webhook Nodes: 7 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Agent → OpenAI Chat 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
{
  "name": "Workflow Domino Mattermost (Example)",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "<webhook-path>",
        "options": {}
      },
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        -1180,
        -360
      ],
      "id": "11111111-1111-1111-1111-111111111111",
      "name": "Webhook"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 3
          },
          "conditions": [
            {
              "id": "22222222-2222-2222-2222-222222222222",
              "leftValue": "={{ $json.body.user_name }}",
              "rightValue": "<allowed_user>",
              "operator": {
                "type": "string",
                "operation": "equals"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.3,
      "position": [
        -980,
        -360
      ],
      "id": "33333333-3333-3333-3333-333333333333",
      "name": "If Allowed User"
    },
    {
      "parameters": {
        "channelId": "<mattermost-channel-id>",
        "message": "Understood \u2014 analyzing your request.",
        "attachments": [],
        "otherOptions": {}
      },
      "type": "n8n-nodes-base.mattermost",
      "typeVersion": 1,
      "position": [
        -760,
        -360
      ],
      "id": "44444444-4444-4444-4444-444444444444",
      "name": "Mattermost Ack",
      "credentials": {
        "mattermostApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=User request:\\n{{ $('Webhook').item.json.body.text }}",
        "options": {
          "systemMessage": "You are a strict read-only assistant. Use tools to retrieve facts. Never invent data. Do not perform write operations. Keep answers concise and factual.",
          "maxIterations": 15
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        -560,
        -360
      ],
      "id": "55555555-5555-5555-5555-555555555555",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "endpointUrl": "http://<dommcp-host>:8088/mcp",
        "authentication": "bearerAuth",
        "include": "selected",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "typeVersion": 1.2,
      "position": [
        -420,
        -120
      ],
      "id": "66666666-6666-6666-6666-666666666666",
      "name": "MCP Client",
      "credentials": {
        "httpBearerAuth": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "openai/gpt-oss-120b",
          "mode": "list",
          "cachedResultName": "openai/gpt-oss-120b"
        },
        "responsesApiEnabled": false,
        "options": {
          "temperature": 0.2,
          "topP": 0.9
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        -560,
        -120
      ],
      "id": "77777777-7777-7777-7777-777777777777",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "channelId": "<mattermost-channel-id>",
        "message": "={{ $json.output }}",
        "attachments": [],
        "otherOptions": {}
      },
      "type": "n8n-nodes-base.mattermost",
      "typeVersion": 1,
      "position": [
        -200,
        -360
      ],
      "id": "88888888-8888-8888-8888-888888888888",
      "name": "Mattermost Reply",
      "credentials": {
        "mattermostApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "If Allowed User",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If Allowed User": {
      "main": [
        [],
        [
          {
            "node": "Mattermost Ack",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Mattermost Ack": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "MCP Client": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Mattermost Reply",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "tags": []
}

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

Workflow Domino Mattermost (Example). Uses mattermost, agent, mcpClientTool, lmChatOpenAi. Webhook trigger; 7 nodes.

Source: https://github.com/KevinD987/DomMCP/blob/cb2da5c34d670a8dbc67544c0fe91412701d43c0/examples/n8n/Workflow_Domino_Mattermost.example.json — 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

CLINICAINTEGRAL_secretary. Uses postgres, mcpClientTool, googleDriveTool, toolWorkflow. Webhook trigger; 89 nodes.

Postgres, Mcp Client Tool, Google Drive Tool +14
AI & RAG

my-secretary. Uses postgres, mcpClientTool, googleDriveTool, toolWorkflow. Webhook trigger; 86 nodes.

Postgres, Mcp Client Tool, Google Drive Tool +13
AI & RAG

This workflow integrates multiple productivity tools into a single AI-powered assistant using n8n, acting as a centralized control hub to receive and execute tasks across Google Calendar, Gmail, Googl

Agent, Discord, OpenAI Chat +12
AI & RAG

Secretaria_IA. Uses postgres, httpRequest, openAi, agent. Webhook trigger; 60 nodes.

Postgres, HTTP Request, OpenAI +11
AI & RAG

This workflow is an AI-powered Dental Appointment Assistant that automates appointment booking, rescheduling, and cancellations through Telegram or a Webhook. It uses intelligent agents to understand

Memory Buffer Window, Output Parser Structured, Mcp Client Tool +12