Soporte de IA para mesa de ayuda con Supabase y JIRA

• •Bot Token de Slack o URL de Webhook
• •Clave de API de OpenAI
• •URL y Clave de API de Supabase

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  "name": "AI Enabled Helpdesk with Supabase and JIRA",
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      "name": "Creator Hub",
      "createdAt": "2025-07-27T06:39:31.509Z",
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      "webhookId": "5d3fa63f-ef0a-48f1-9550-d95e527fba61",
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        "channelId": {
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      "parameters": {
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        "select": "channel",
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              "name": "is_emoji",
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    {
      "id": "035076b9-543f-407b-8614-1ef4646d6d76",
      "name": "Supabase Almacén de vectores",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "position": [
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      ],
      "parameters": {
        "mode": "insert",
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          "queryName": "match_documents"
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          "mode": "list",
          "value": "documents",
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      "credentials": {
        "supabaseApi": {
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          "name": "Supabase account"
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    {
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      "name": "Incrustaciones OpenAI",
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        "openAiApi": {
          "id": "PzzLblAykQPFIDZf",
          "name": "OpenAi account"
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    {
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      "name": "Cargador de Datos Predeterminado",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        -2512,
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      ],
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      "parameters": {
        "width": 736,
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        "content": "# Document Ingestion Flow (RAG Pipeline)\n**Convert** CSV and PDF files to vectors and store them to a vector database like Supabase \n- Provides a web form interface for uploading CSV and PDF knowledge base documents.  This can be changed to webhook method if needed.\n- Automatically processes uploaded files through document loaders\n- Generates embeddings using OpenAI and stores them in Supabase vector database\n- Builds a searchable knowledge repository from IT documentation and case histories \n- Only **CSV** and **PDF** files are accepted formats\n- Change **Accepted File Types** to add more file types like .docx"
      },
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    },
    {
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      "name": "Al enviar formulario",
      "type": "n8n-nodes-base.formTrigger",
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        "options": {
          "appendAttribution": false
        },
        "formTitle": "Document Uploader",
        "formFields": {
          "values": [
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              "fieldType": "file",
              "fieldLabel": "Upload CSV/PDF Files",
              "requiredField": true,
              "acceptFileTypes": ".csv,.pdf"
            }
          ]
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      "typeVersion": 2.2
    },
    {
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      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
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        "height": 1360,
        "content": "# Workflow Overview\n\n## RAG operation\n- Upload your CSV/PDF files with IT helpdesk data to the vector database like Supabase. You can any RAG workflow. The provided RAG workflow uses Supabase vector store.\n\n## Minimum Slack Configuration\n - **Slack App Event Subscriptions**\n   - **Bot Events** subscribed to:\n      - app_mention\n      - message.channels\n      - message.groups (if using private channels)\n\n- **Minimum OAuth and Permissions**\n  - app_mentions:read\n  - channels:history  \n  - channels:read\n  - groups:history    \n  - groups:read\n  - im:history\n  - im:read\n  - mpim:history\n  - mpim:read\n  - users:read\n\n- **Bot Installation and Testing**\n-  In your Slack channel, check if bot is present:\n ```  \n /invite @your-bot-name\n```\n### Test if bot responds to mentions:\n```\n@your-bot-name hello\n```\n\nKey features of the workflow\n\n- Workflow maintains the conversation history\n- Initial conversation starter should use @your-bot-name <message>\n- All other messages replied in the thread does not require @your-bot-name\n- Bot will try to get as much information as possible, and will then create a JIRA ticket\n- Bot will present matching cases and knowledge-based articles before creating the ticket\n\nExamples:\n@helpdesk can you please check the status of my ticket JIRA-5\n\n@helpdesk I lost my laptop and i do not have access to my email. Please help."
      },
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      "parameters": {
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        "height": 704,
        "content": "# Main Helpdesk Flow (Slack Integration)\n**Overview**\n-  **Slack Trigger** captures the incoming messages from the Slack\n- **Change** the field **Channel to Watch** to mention your own channel, or enable **Watch Whole Workspace** to watch the whole workspace\n- **Format output** cleans up the output and creates a clean JSON response\n- **IF** statement checks for **type = app_mention and is_bot = false**\n- Is_bot is required to avoid the Slack message loop issue\n- The second If statement checks for **type = message, is_bot = false, and thread_ts is not empty**\n- **thread_ts** property defines if the message is part of the thread\n- Helpdesk Agent uses an extensive system prompt to act as a helpdesk agent\n- Helpdesk agent uses the MCP client tool to connect to the MCP Server (this has all tools)\n- The workflow has a simple design using MCP\n- Helpdesk Agent uses the **thread_ts** to store previous conversations in memory\n- Change simple memory to a database instead"
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      "parameters": {
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        "content": "## MCP Server Overview\n- Utilizes Model Context Protocol for scalable tool integration\n- Centralizes Supabase vector search and JIRA operations in a dedicated MCP server\n- Enables the AI agent to access multiple external systems through a unified interface\n\n## MCP Server Working\n- The MCP Server will receive requests from the MCP client in the Slack helpdesk bot responder workflow\n- The MCP Server uses Supabase and JIRA\n- Supabase will be used to search knowledge based articles in embedded vector database. \n- JIRA create ticket will create a new helpdesk ticket\n- JIRA Search will search existing tickets which match the reported issue\n- JIRA get status checks for the status of the ticket\n- JIRA Change priority tool changes the priority to Highest, High, Medium, Low, Lowest\n- JIRA change log tool helps to get all the changes on the ticket\n "
      },
      "typeVersion": 1
    },
    {
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      "name": "Disparador de Servidor MCP",
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "position": [
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      ],
      "webhookId": "18bad880-fe92-4122-b469-5b31dacde393",
      "parameters": {
        "path": "heldpesk"
      },
      "typeVersion": 2
    },
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      "name": "Supabase Almacén de vectores1",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "position": [
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      ],
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        "toolDescription": "Use this tool to retrieve data for the Helpdesk queries and to check if an existing issue, ticket or a knowledge base exist for the problem being reported by the user"
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    {
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      "name": "Crear Ticket",
      "type": "n8n-nodes-base.jiraTool",
      "position": [
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      ],
      "parameters": {
        "project": {
          "__rl": true,
          "mode": "list",
          "value": "10000",
          "cachedResultName": "Helpdesk"
        },
        "summary": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Summary', ``, 'string') }}",
        "issueType": {
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          "mode": "list",
          "value": "10004",
          "cachedResultName": "Service Request"
        },
        "additionalFields": {
          "description": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Description', ``, 'string') }}"
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      },
      "credentials": {
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    {
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      "name": "Buscar",
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        "operation": "getAll",
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    {
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        "operation": "transitions",
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          "id": "hWrwVbyUcD8HSAYf",
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      "name": "helpdesk_tools",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
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      ],
      "parameters": {
        "sseEndpoint": "https://idsingh.app.n8n.cloud/mcp/heldpesk"
      },
      "typeVersion": 1
    },
    {
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      "name": "Cambiar Prioridad",
      "type": "n8n-nodes-base.jiraTool",
      "position": [
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      ],
      "parameters": {
        "issueKey": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Issue_Key', ``, 'string') }}",
        "operation": "update",
        "updateFields": {
          "priority": {
            "__rl": true,
            "mode": "id",
            "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Priority', ``, 'string') }}",
            "__regex": "^([0-9]{1,})"
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        },
        "descriptionType": "manual",
        "toolDescription": "Use this tool to change the priority on JIRA ticket to High"
      },
      "credentials": {
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          "id": "hWrwVbyUcD8HSAYf",
          "name": "Jira SW Cloud account"
        }
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      "typeVersion": 1
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    {
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      ],
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        "issueKey": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Issue_Key', ``, 'string') }}",
        "operation": "changelog"
      },
      "credentials": {
        "jiraSoftwareCloudApi": {
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          "value": "gpt-4.1",
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          "temperature": 0.7,
          "presencePenalty": 0,
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Automatically create a ticket if the user still engaged.\n- Use specific technical terms and error messages for better matches\n- Present findings as: \"Based on our knowledge base...\" or \"I found similar cases...\"\n- **ALWAYS** ask if the provided information is helpful or to create a helpdesk ticket.\n- If the user ask to create ticket then *DO NOT** search the vector database anymore.\n\n## MCP JIRA SEARCH INSTRUCTIONS:\nAfter the Vector search, IMMEDIATELY search the JIRA for existing tickets\n- Search for keywords from the user's problem description\n- Get a max of 5 tickets which are similar or close to the issue reported \n- Use specific technical terms and error messages for better matches\n- Present findings as: \"Based on existing helpdesk tickets...\" or \"I found similar cases...\"\n\n## RESPONSE PATTERNS:\n\n### NEW CONVERSATION (no thread_ts):\n\"Hi! I'm <your name>, your IT assistant. [Search vector DB] Based on our knowledge base, I can help you with [issue]. 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