Workflow: Executeworkflowtrigger Workflow
Integrations: aggregate, executeWorkflowTrigger, httpRequest, noOp, set, stickyNote, switch

{"meta": {"instanceId": "workflow-ec98c3f1", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:46.142712", "updatedAt": "2025-09-29T07:07:46.142721", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "nodes": [{"id": "aef123fd-3481-4708-ae85-684529e4f05f", "name": "When Executed by Another Workflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [340, 300], "parameters": {"workflowInputs": {"values": [{"name": "operation"}, {"name": "query"}, {"name": "urls"}]}}, "typeVersion": 1.1, "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."}, {"id": "d77e695b-8340-4715-9862-b6428d7d12e4", "name": "Operation", "type": "n8n-nodes-base.switch", "position": [580, 300], "parameters": {"rules": {"values": [{"outputKey": "YOUR_CREDENTIAL_HERE", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "81b134bc-d671-4493-b3ad-8df9be3f49a6", "operator": {"type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "youtube_search"}]}, "renameOutput": true}, {"outputKey": "YOUR_CREDENTIAL_HERE", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "8d57914f-6587-4fb3-88e0-aa1de6ba56c1", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "youtube_transcripts"}]}, "renameOutput": true}, {"outputKey": "YOUR_CREDENTIAL_HERE", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "7c38f238-213a-46ec-aefe-22e0bcb8dffc", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "usage_metrics"}]}, "renameOutput": true}]}, "options": {}}, "typeVersion": 3.2, "notes": "This switch node performs automated tasks as part of the workflow."}, {"id": "b2d3e630-9664-481e-b250-9d5a3ff065ee", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-440, -100], "parameters": {"color": 7, "width": 680, "height": 660, "content": "## 1. Set up an MCP Server Trigger\n[Read more about the MCP Server Trigger]({{ $env.WEBHOOK_URL }}"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "6facfbdf-bc66-4652-8ae6-a1513962fe2e", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [260, -100], "parameters": {"color": 7, "width": 1240, "height": 820, "content": "## 2. [APIFY.com]({{ $env.API_BASE_URL }} for Easy Youtube Search and Transcripts\n[Sign up for Apify.com using 20JIMLEUK for 20% discount]({{ $env.API_BASE_URL }}\n\nI've used Apify's Youtube scrapers a couple of times already and I find them quite fast and dependable for production use-cases.\nI particularly like that my workflows don't break when I inevitably hit the official Youtube rate limits which are quite low.\nFor this MCP server, I'm using the following youtube scraper for search and downloading transcripts: [{{ $env.API_BASE_URL }}]({{ $env.API_BASE_URL }}"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "3473a800-6bdc-412d-82f2-aa5befd2dfe4", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [-440, -220], "parameters": {"color": 5, "width": 380, "height": 100, "content": "### Always Authenticate Your Server!\nBefore going to production, it's always advised to enable authentication on your MCP server trigger."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "adddb2c3-5823-426e-bd10-4ae2f3ed0f8c", "name": "Youtube Transcripts", "type": "n8n-nodes-base.noOp", "position": [0, 280], "parameters": {"name": "youtube_transcripts", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Fetch the transcript from a youtube video using the youtube video url.", "workflowInputs": {"value": {"urls": "{{ $env.BASE_URL }}", "query": "null", "operation": "youtube_transcripts"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, "required": false, "displayName": "query", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "urls", "type": "string", "display": true, "removed": false, "required": false, "displayName": "urls", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2.1, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "bce90f0f-a0d8-4e43-98f2-70426b28759d", "name": "Youtube Search", "type": "n8n-nodes-base.noOp", "position": [-280, 280], "parameters": {"name": "websearch_contents", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Performs a youtube search and retrieves relevant videos with metadata only.", "workflowInputs": {"value": {"urls": "{{ $env.BASE_URL }}", "query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('query', ``, 'string') }}", "operation": "youtube_search"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, "required": false, "displayName": "query", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "urls", "type": "string", "display": true, "removed": false, "required": false, "displayName": "urls", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2.1, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2", "name": "Apify Youtube Search", "type": "n8n-nodes-base.httpRequest", "position": [860, 100], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "jsonBody": "={{\n{\n  \"searchQueries\": [$json.query],\n  \"maxResultStreams\": 0,\n  \"maxResults\": 5\n}\n}}", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "executeOnce": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "ea57908b-f927-466c-86ff-2265a5ee001a", "name": "Simplify Search Results", "type": "n8n-nodes-base.set", "position": [1060, 100], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "9d1db837-e256-4124-80d1-8b103dbbefbb", "name": "channelName", "type": "string", "value": "={{ $json.channelName }}"}, {"id": "94cebccb-b499-4fab-a1ff-187179dcd5ce", "name": "title", "type": "string", "value": "={{ $json.title }}"}, {"id": "cc68698a-221a-49b8-a349-d16ad4fa746c", "name": "url", "type": "string", "value": "={{ $json.url }}"}, {"id": "de8ae3e0-685d-4e40-839f-13c798d4e5e2", "name": "description", "type": "string", "value": "={{ $json.text.substr(0,2_000) }}"}, {"id": "e933cbca-486c-45c9-8ed0-89a3d1efe003", "name": "viewCount", "type": "number", "value": "={{ $json.viewCount }}"}, {"id": "417846bb-5e8c-42af-b1dc-8b1de9fa426c", "name": "likes", "type": "number", "value": "={{ $json.likes }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "aed4a7c8-f41e-4e14-90c9-4e298465e7f4", "name": "Apify Youtube Transcripts", "type": "n8n-nodes-base.httpRequest", "maxTries": 2, "position": [860, 300], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "jsonBody": "={{\n{\n  \"downloadSubtitles\": true,\n  \"hasCC\": false,\n  \"hasLocation\": false,\n  \"hasSubtitles\": false,\n  \"is360\": false,\n  \"is3D\": false,\n  \"is4K\": false,\n  \"isBought\": false,\n  \"isHD\": false,\n  \"isHDR\": false,\n  \"isLive\": false,\n  \"isVR180\": false,\n  \"maxResultStreams\": 0,\n  \"maxResults\": 1,\n  \"maxResultsShorts\": 0,\n  \"preferAutoGeneratedSubtitles\": false,\n  \"saveSubsToKVS\": false,\n  \"startUrls\": $json.urls.split(',').map(url => ({\n    \"url\": url,\n    \"method\": \"GET\"\n  })),\n  \"subtitlesFormat\": \"plaintext\",\n  \"subtitlesLanguage\": \"en\"\n}\n}}", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "retryOnFail": true, "typeVersion": 4.2, "waitBetweenTries": 5000, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "a73c672c-c36a-4ac0-bb0f-a87ed4dd9329", "name": "Simplify Transcript Results", "type": "n8n-nodes-base.set", "position": [1060, 300], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "94cebccb-b499-4fab-a1ff-187179dcd5ce", "name": "title", "type": "string", "value": "={{ $json.title }}"}, {"id": "cc68698a-221a-49b8-a349-d16ad4fa746c", "name": "url", "type": "string", "value": "={{ $json.url }}"}, {"id": "7501fe60-f43d-42fe-9087-6f70a1cf12af", "name": "transcript", "type": "string", "value": "={{ $json.subtitles[0].plaintext }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "c62ef6f9-6a81-4f00-aa68-433e3378e6ff", "name": "Aggregate Search Results", "type": "n8n-nodes-base.aggregate", "position": [1260, 100], "parameters": {"options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "response"}, "typeVersion": 1, "notes": "This aggregate node performs automated tasks as part of the workflow."}, {"id": "53f6c967-bca1-4322-9939-7e0078ef99ed", "name": "Aggregate Transcript Results", "type": "n8n-nodes-base.aggregate", "position": [1260, 300], "parameters": {"options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "response"}, "typeVersion": 1, "notes": "This aggregate node performs automated tasks as part of the workflow."}, {"id": "04590cf0-38e5-4113-abb8-14c141524b1c", "name": "Simplify Usage Metrics", "type": "n8n-nodes-base.set", "position": [1260, 500], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "ff43aa98-4e32-478d-9e43-619b7b808948", "name": "monthlyUsageCycle_startAt", "type": "string", "value": "={{ $json.data.monthlyUsageCycle.startAt }}"}, {"id": "145eefd3-5248-40e9-a988-9e0e578d930a", "name": "monthlyUsageCycle_endAt", "type": "string", "value": "={{ $json.data.monthlyUsageCycle.endAt }}"}, {"id": "020d1e4f-d7ec-4d69-b9be-b6c4ba5971eb", "name": "monthlyUsageUsd", "type": "string", "value": "={{ $json.data.current.monthlyUsageUsd.toFixed(2) }} of {{ $json.data.limits.maxMonthlyUsageUsd.toFixed(2) }}"}, {"id": "112fb245-b35b-45ce-ad29-e05d0f352010", "name": "ACTOR_COMPUTE_UNITS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.ACTOR_COMPUTE_UNITS.amountAfterVolumeDiscountUsd }}"}, {"id": "4b451afb-eba7-49c6-8c3c-7279fb315ec6", "name": "DATASET_READS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_READS.amountAfterVolumeDiscountUsd }}"}, {"id": "c002234c-955e-41f4-a27f-7f031ae6111e", "name": "DATASET_TIMED_STORAGE_GBYTE_HOURS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"}, {"id": "0108085d-1bb4-44c5-bc3b-845a7206abfe", "name": "DATASET_WRITES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_WRITES.amountAfterVolumeDiscountUsd }}"}, {"id": "df993499-7410-450c-b5b1-50052e6d061e", "name": "DATA_TRANSFER_EXTERNAL_GBYTES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_EXTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"}, {"id": "1627a2dd-15a6-4b69-b480-4e1b792c403d", "name": "DATA_TRANSFER_INTERNAL_GBYTES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_INTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"}, {"id": "73037e97-e43d-4ecd-bb7e-6c5ce4740e4d", "name": "KEY_VALUE_STORE_READS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_READS.amountAfterVolumeDiscountUsd }}"}, {"id": "5de9ba3b-bf62-4525-9cd9-5008bafe73c5", "name": "KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"}, {"id": "6d1997f2-46c0-468b-b50f-fc37512417d2", "name": "KEY_VALUE_STORE_WRITES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_WRITES.amountAfterVolumeDiscountUsd }}"}, {"id": "b579cb9e-d18f-4877-b808-a177195a364a", "name": "PAID_ACTORS_PER_DATASET_ITEM", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.PAID_ACTORS_PER_DATASET_ITEM.amountAfterVolumeDiscountUsd }}"}, {"id": "5c69831c-3c62-421d-afff-bd8cfb68fb29", "name": "REQUEST_QUEUE_READS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_READS.amountAfterVolumeDiscountUsd }}"}, {"id": "21d54d4d-515b-4fa7-b099-c8b193fc4436", "name": "=REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"}, {"id": "68168fc6-0052-4fa6-b631-942d972af340", "name": "REQUEST_QUEUE_WRITES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_WRITES.amountAfterVolumeDiscountUsd }}"}]}}, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow."}, {"id": "dee72606-aeea-41bf-97e3-037afbd03efc", "name": "Get Usage Limits", "type": "n8n-nodes-base.httpRequest", "position": [1060, 500], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "49715bf8-56a9-41ee-a756-eb05ea4f1e7d", "name": "Usage Report", "type": "n8n-nodes-base.noOp", "position": [-140, 400], "parameters": {"name": "Apfiy_Usage_Metrics", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Returns current month's usage metrics.", "workflowInputs": {"value": {"urls": "{{ $env.BASE_URL }}", "query": "null", "operation": "=usage_report"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, "required": false, "displayName": "query", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "urls", "type": "string", "display": true, "removed": false, "required": false, "displayName": "urls", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2.1, "notes": "This toolWorkflow node performs automated tasks as part of the workflow."}, {"id": "737eca46-cb1f-443f-8243-33d429f0bfe3", "name": "Get Usage Metrics", "type": "n8n-nodes-base.httpRequest", "position": [860, 500], "parameters": {"url": "{{ $env.API_BASE_URL }}", "options": {}, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "90da2c29-a1fc-4772-a271-602cdd14b679", "name": "Apify Youtube MCP Server", "type": "n8n-nodes-base.noOp", "position": [-300, 60], "webhookId": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e", "parameters": {"path": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e"}, "typeVersion": 1, "notes": "This mcpTrigger node performs automated tasks as part of the workflow."}, {"id": "b427a01f-099d-43f8-8b8d-04186a5d330e", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-960, -460], "parameters": {"width": 480, "height": 1020, "content": "## Try It Out!\n### This n8n demonstrates how to build a simple Youtube Search MCP server to look up videos on Youtube and download their transcripts for research purposes.\n\n### How it works\n* A MCP server trigger is used and connected to 3 custom workflow tools: Youtube Search, Youtube Transcripts and Usage Reports.\n* Both Youtube tools use an external scraping service called [APIFY.com]({{ $env.API_BASE_URL }} This is my preference as it's a much simpler interface and there are no rate limits.  \n* The Youtube Search fetches 10 results based on the user's query.\n* The Youtube Transcripts downloads the subtitles from one or more given urls.\n* The usage reports pulls in your monthly [APIFY.com]({{ $env.API_BASE_URL }} monthly spending and limits as a way to check your account.\n\n### How to use\n* This Apify Youtube MCP server allows any compatible MCP client to research youtube videos for any desired topic. An Apify account is required however to connect and use the service.\n* Connect your MCP client by following the n8n guidelines here - {{ $env.WEBHOOK_URL }}\n* Alternatively, connect any n8n AI agent with the MCP client tool.\n* Try the following queries in your MCP client:\n  * \"what is MCP?\"\n  * \"How can I use MCP in n8n?\"\n  * \"How can I use Apify's official MCP server?\"\n\n### Requirements\n* [APIFY.com]({{ $env.API_BASE_URL }} for Youtube Scraping. This is a paid service but there is a $5 free tier which is ample for this template.\n* MCP Client or Agent for usage such as Claude Desktop - {{ $env.WEBHOOK_URL }}\n\n### Customising this workflow\n* Add as many [APIFY.com]({{ $env.API_BASE_URL }} actors as required for your use-case or users. Consider using Apify's official MCP server for 4000+ available tools.\n* Remember to set the MCP server to require credentials before going to production and sharing this MCP server with others!"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "e11a8af0-0a53-4b9b-a499-4bbd956858f8", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [260, -360], "parameters": {"width": 280, "height": 240, "content": "[![]({{ $env.WEBHOOK_URL }}]({{ $env.API_BASE_URL }}"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}], "pinData": {}, "connections": {"42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2": {"main": [[{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-b42633c4", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-76607412", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-49955824", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-c504983e", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-a272d22b", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-6d7f23ae", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-db784a2c", "type": "main", "index": 0}], [{"node": "error-handler-42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2-0115f902", "type": "main", "index": 0}]]}, "aed4a7c8-f41e-4e14-90c9-4e298465e7f4": {"main": [[{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-98e2036a", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-63493cea", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-bac0d852", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-8d4be973", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-7f89bc37", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-b0a328a3", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-967819f2", "type": "main", "index": 0}], [{"node": "error-handler-aed4a7c8-f41e-4e14-90c9-4e298465e7f4-cfcd1f3a", "type": "main", "index": 0}]]}, "dee72606-aeea-41bf-97e3-037afbd03efc": {"main": [[{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-13852981", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-44db04e8", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-ed3e3210", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-418e8c98", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-13f974c9", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-9cfcd7e3", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-5a88d1b6", "type": "main", "index": 0}], [{"node": "error-handler-dee72606-aeea-41bf-97e3-037afbd03efc-173c06db", "type": "main", "index": 0}]]}, "737eca46-cb1f-443f-8243-33d429f0bfe3": {"main": [[{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-c8747438", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-0048f68f", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-42b249f0", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-29d82322", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-6e631d7a", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-8f00f90b", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-c2200d67", "type": "main", "index": 0}], [{"node": "error-handler-737eca46-cb1f-443f-8243-33d429f0bfe3-c1980aa6", "type": "main", "index": 0}]]}}, "name": "Executeworkflowtrigger Workflow", "settings": {"executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "description": "Automated workflow: Executeworkflowtrigger Workflow. This workflow integrates 9 different services: stickyNote, httpRequest, switch, set, mcpTrigger. It contains 28 nodes and follows best practices for error handling and security.", "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "notes": "Excellent quality workflow: Executeworkflowtrigger Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}