AutomationFlowsAI & RAG › Brightdatamcp

Brightdatamcp

brightDataMCP. Uses chatTrigger, agent, lmChatOllama, memoryBufferWindow. Chat trigger; 5 nodes.

Chat trigger trigger★★☆☆☆ complexityAI-powered5 nodesChat TriggerAgentOllama ChatMemory Buffer WindowMcp Client Tool
AI & RAG Trigger: Chat trigger Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes Added:

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
{
  "updatedAt": "2026-02-02T20:11:38.117Z",
  "createdAt": "2026-02-02T19:25:08.142Z",
  "id": "x3sRCaCTqRy7ittFHCtcf",
  "name": "brightDataMCP",
  "active": false,
  "isArchived": false,
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.4,
      "position": [
        -288,
        -240
      ],
      "id": "fdb1738b-84ce-4c9e-abef-0fd189e32c3b",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        -80,
        -240
      ],
      "id": "6b0dec9d-d22d-4718-85e9-65626c4c4ee1",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": "kimi-k2:1t-cloud",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
      "typeVersion": 1,
      "position": [
        -224,
        -32
      ],
      "id": "b1fe5c65-f1e4-4194-baf6-ee0ffa09718d",
      "name": "Ollama Chat Model",
      "credentials": {
        "ollamaApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {},
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        0,
        -32
      ],
      "id": "2367078a-062c-4b3e-84fb-e6c4db94e9fb",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "endpointUrl": "https://mcp.brightdata.com/mcp?token=ef957d2d-aa66-4f4d-9f81-eab926c1a5d5",
        "options": {
          "timeout": 60000
        }
      },
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "typeVersion": 1.2,
      "position": [
        240,
        -32
      ],
      "id": "9e34f917-95a0-4857-a3fc-da3d41dadcd9",
      "name": "MCP Client"
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Ollama Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "MCP Client": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "staticData": null,
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "versionId": "ea5ced64-a38d-4c39-9696-4cf105fff43f",
  "activeVersionId": null,
  "triggerCount": 0,
  "shared": [
    {
      "updatedAt": "2026-02-02T19:25:08.142Z",
      "createdAt": "2026-02-02T19:25:08.142Z",
      "role": "workflow:owner",
      "workflowId": "x3sRCaCTqRy7ittFHCtcf",
      "projectId": "aRJv9cLftn98cx8V"
    }
  ],
  "activeVersion": null,
  "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

brightDataMCP. Uses chatTrigger, agent, lmChatOllama, memoryBufferWindow. Chat trigger; 5 nodes.

Source: https://github.com/ATHARVISM2804/n8n_workflow_main/blob/main/workflows/brightdatamcp-.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

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

NGSS Agent v2.2 github. Uses memoryBufferWindow, toolWorkflow, chatTrigger, agent. Chat trigger; 13 nodes.

Memory Buffer Window, Tool Workflow, Chat Trigger +2
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