This workflow follows the Agent → HTTP Request 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 →
{
"nodes": [
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
0,
-96
],
"id": "505a0241-76bc-48ce-ad92-a7482f4988ed",
"name": "Loop Over Items"
},
{
"parameters": {
"promptType": "define",
"text": "=Please check the PDF file and write a short summarization of the content. \nIf the document contains a recipient address and a sender address, please also write it down. \n\nHere is the content:\n{{ $json.pages[0].markdown }}\n\nAvailable Tags (ID - Name):\n{{ $('Get Tags').item.json.results.map(tag => `${tag.id} - ${tag.name}`).join('\\n') }}\n\nAvailable Correspondents (ID - Name):\n{{ $('Get Correspondents').item.json.results.map(correspondent => `${correspondent.id} - ${correspondent.name}`).join('\\n') }}\n\nAvailable Document types (ID - Name):\n{{ $('Get Document Types').item.json.results.map(doc_type => `${doc_type.id} - ${doc_type.name}`).join('\\n') }}\n\nImportant: Only suggest tags and correspondents from the lists above using their IDs. Do not create new ones.\n\nPlease provide your response in the following format:\n\n**Summary:**\n[Your summary here]\n\n**Sender Address:**\n[Sender address if found, otherwise \"Not found\"]\n\n**Recipient Address:**\n[Recipient address if found, otherwise \"Not found\"]\n\n**Suggested Tag IDs:**\n[Comma-separated list of tag IDs, e.g., \"39, 42, 55\" or \"None\"]\n\n**Suggested Correspondent ID:**\n[Single correspondent ID, e.g., \"12\" or \"None\"]\n\n**Suggested Document Type ID:**\n[Single type ID, e.g., \"12\" or \"None\", please take care about words in content matching a document type name]\n\n\n**Document language:**\n[2 chars language code (f)]",
"hasOutputParser": true,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
624,
0
],
"id": "4ce5c493-c740-4c72-be85-81426c0520f4",
"name": "AI Agent"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.mistralAi",
"typeVersion": 1,
"position": [
480,
0
],
"id": "3a828e52-08fe-477f-ad4f-8ffcae180c1c",
"name": "Extract text",
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-5.2",
"mode": "list",
"cachedResultName": "gpt-5.2"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
624,
208
],
"id": "46176422-2681-47c5-aaa9-e79dd024fa9d",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonSchemaExample": "{\n \"sender\": {\n \"name\": \"SENDER_NAME\",\n \"address\": \"SENDER_STREET\",\n \"postcode\": \"SENDER_POSTCODE\",\n \"city\": \"SENDER_CITY\",\n \"country\": \"SENDER_COUNTRY\"\n },\n \"correspondent\": {\n \"id\": \"CORRESPONDENT_ID\",\n \"name\": \"CORRESPONENT_NAME\"\n },\n \"recipient\": {\n \"name\": \"RECIPIENT_NAME\",\n \"address\": \"RECIPIENT_STREET\",\n \"postcode\": \"RECIPIENT_POSTCODE\",\n \"city\": \"RECIPIENT_CITY\",\n \"country\": \"RECIPIENT_COUNTRY\"\n },\n \"language\": \"DOCUMENT_LANG_CODE_(2chars)\",\n \"subject\": \"SUBJECT_TEXT\",\n \"summary\": \"SUMMARY_TEXT\",\n \"priority\": \"PRIORITY\",\n \"tags\": [\n {\n \"id\": \"TAG_ID\",\n \"name\": \"TAG_NAME\"\n }\n ],\n \"document_type\": {\n \"id\": \"DOCUMENT_TYPE_ID\",\n \"name\": \"DOCUMENT_TYPE_NAME\"\n }\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
768,
208
],
"id": "43ba17d3-7b5d-407e-b5c4-49329cadf5c2",
"name": "Structured Output Parser"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-928,
-256
],
"id": "923277bf-6046-4496-bf1b-02f56ffeeba0",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 2
},
"conditions": [
{
"id": "3bd9ab06-36c1-494f-a25e-031a6a74ca7e",
"leftValue": "={{ $json.statusCode }}",
"rightValue": "200",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
2048,
-16
],
"id": "6c3343ff-b536-4ccb-927d-c8e172914cc6",
"name": "Upload erfolgreich"
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "minutes"
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-928,
-96
],
"id": "a5c38966-7d10-44ef-8ab1-47b72676f0ad",
"name": "Schedule Trigger"
},
{
"parameters": {
"url": "https://paperless.svenwagener.net/api/correspondents/",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Token 0867ad8a038b5677e194831f82a3124aab6ecaa3"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-704,
-96
],
"id": "e1a9ea26-4a78-4811-95b7-154750aa2555",
"name": "Get Correspondents",
"notesInFlow": false
},
{
"parameters": {
"url": "https://paperless.svenwagener.net/api/tags/?page_size=1000",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Token 0867ad8a038b5677e194831f82a3124aab6ecaa3"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-528,
-96
],
"id": "41835f32-58c6-443f-a06e-91c2e423b100",
"name": "Get Tags",
"notesInFlow": false
},
{
"parameters": {
"url": "https://paperless.svenwagener.net/api/document_types/?page_size=1000",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Token 0867ad8a038b5677e194831f82a3124aab6ecaa3"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-352,
-96
],
"id": "b1e3b7cb-9df3-475a-9c04-fc46ac890d79",
"name": "Get Document Types",
"notesInFlow": false
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "1",
"leftValue": "={{ $json.output.correspondent?.id }}",
"rightValue": "None",
"operator": {
"type": "string",
"operation": "notEquals"
}
},
{
"id": "2",
"leftValue": "={{ $json.output.correspondent?.id }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
928,
0
],
"id": "d841cfe8-4500-40c5-a75d-f1ed6ed2e8b6",
"name": "Hat g\u00fcltigen Korrespondent?"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "1",
"leftValue": "={{ $json.output.sender?.name }}",
"rightValue": "Not found",
"operator": {
"type": "string",
"operation": "notEquals"
}
},
{
"id": "2",
"leftValue": "={{ $json.output.sender?.name }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1136,
-192
],
"id": "083de34d-3b19-4690-baa7-707a0fd55229",
"name": "Kann Korrespondent erstellen?"
},
{
"parameters": {
"jsCode": "// Vorbereitung: Erstelle die Body-Parameter dynamisch\nconst output = $input.item.json.output;\n\n// Tags als Array von IDs vorbereiten\nconst tagIds = output.tags && Array.isArray(output.tags) \n ? output.tags.map(tag => tag.id) \n : [];\n\n// WICHTIG: Binary-Daten weitergeben!\nreturn {\n json: {\n ...output,\n tagIds: tagIds // Tags als separates Array\n },\n binary: $input.item.binary\n};"
},
"id": "f0d9ccce-c35e-4e85-a560-9a3fd2fb8c44",
"name": "Prepare Parameters",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1696,
-16
]
},
{
"parameters": {
"method": "POST",
"url": "https://paperless.svenwagener.net/api/documents/post_document/",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Token 0867ad8a038b5677e194831f82a3124aab6ecaa3"
}
]
},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{
"parameterType": "formBinaryData",
"name": "document",
"inputDataFieldName": "data"
},
{
"name": "title",
"value": "={{ $json.subject || '' }}"
},
{
"name": "={{ $json.correspondent?.id != 'None' ? 'correspondent' : 'x' }}",
"value": "={{ $json.correspondent?.id || '' }}"
},
{
"name": "={{ $json.document_type?.id ? 'document_type' : 'x' }}",
"value": "={{ $json.document_type?.id || '' }}"
},
{
"name": "={{ $json.tags && $json.tags[0]?.id ? 'tags' : 'x' }}",
"value": "={{ $json.tags && $json.tags[0]?.id ? $json.tags[0].id : '' }}"
},
{
"name": "={{ $json.tags && $json.tags[1]?.id ? 'tags' : 'x' }}",
"value": "={{ $json.tags && $json.tags[1]?.id ? $json.tags[1].id : '' }}"
},
{
"name": "={{ $json.tags && $json.tags[2]?.id ? 'tags' : 'x' }}",
"value": "={{ $json.tags && $json.tags[2]?.id ? $json.tags[2].id : '' }}"
},
{
"name": "={{ $json.tags && $json.tags[3]?.id ? 'tags' : 'x' }}",
"value": "={{ $json.tags && $json.tags[3]?.id ? $json.tags[3].id : '' }}"
},
{
"name": "={{ $json.tags && $json.tags[4]?.id ? 'tags' : 'x' }}",
"value": "={{ $json.tags && $json.tags[4]?.id ? $json.tags[4].id : '' }}"
}
]
},
"options": {
"response": {
"response": {
"fullResponse": true,
"responseFormat": "text"
}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1872,
-16
],
"id": "fa5ddb4c-8498-4743-8313-567cfd007d58",
"name": "Upload to Paperless"
},
{
"parameters": {
"resource": "folder",
"operation": "list",
"path": "/Ablage"
},
"type": "n8n-nodes-base.nextCloud",
"typeVersion": 1,
"position": [
-176,
-96
],
"id": "8a2ac54d-d56e-4879-bacc-8b147cfd1607",
"name": "List a folder",
"credentials": {
"nextCloudApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"path": "={{ decodeURIComponent($json.path) }}"
},
"type": "n8n-nodes-base.nextCloud",
"typeVersion": 1,
"position": [
336,
0
],
"id": "3d46634b-c0e0-4c41-9959-d0347dd59b96",
"name": "Download a file",
"credentials": {
"nextCloudApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"path": "={{ decodeURIComponent($('Download a file').item.json.path) }}"
},
"type": "n8n-nodes-base.nextCloud",
"typeVersion": 1,
"position": [
1552,
-16
],
"id": "5e8ca540-e94f-4436-8b07-ae6e50ee515e",
"name": "Download a file1",
"credentials": {
"nextCloudApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "move",
"path": "={{ decodeURIComponent($('Loop Over Items').item.json.path) }}",
"toPath": "=Ablage/Fertig/{{ decodeURIComponent($('Loop Over Items').item.json.path.split('/').pop()) }}"
},
"type": "n8n-nodes-base.nextCloud",
"typeVersion": 1,
"position": [
2352,
144
],
"id": "6324e5b0-8b89-425b-86f0-eb6481312885",
"name": "Move a file",
"credentials": {
"nextCloudApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 3
},
"conditions": [
{
"id": "c3241c46-6e8b-4517-83c1-e24fead9b1d7",
"leftValue": "={{ $json.type }}",
"rightValue": "file",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [
160,
-96
],
"id": "ab8294ec-7ee5-4a2c-98e6-3d84136770aa",
"name": "If"
}
],
"connections": {
"Loop Over Items": {
"main": [
[],
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Hat g\u00fcltigen Korrespondent?",
"type": "main",
"index": 0
}
]
]
},
"Extract text": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Get Correspondents",
"type": "main",
"index": 0
}
]
]
},
"Upload erfolgreich": {
"main": [
[
{
"node": "Move a file",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Get Correspondents",
"type": "main",
"index": 0
}
]
]
},
"Get Correspondents": {
"main": [
[
{
"node": "Get Tags",
"type": "main",
"index": 0
}
]
]
},
"Get Tags": {
"main": [
[
{
"node": "Get Document Types",
"type": "main",
"index": 0
}
]
]
},
"Get Document Types": {
"main": [
[
{
"node": "List a folder",
"type": "main",
"index": 0
}
]
]
},
"Hat g\u00fcltigen Korrespondent?": {
"main": [
[
{
"node": "Download a file1",
"type": "main",
"index": 0
}
],
[
{
"node": "Kann Korrespondent erstellen?",
"type": "main",
"index": 0
}
]
]
},
"Kann Korrespondent erstellen?": {
"main": [
[],
[
{
"node": "Download a file1",
"type": "main",
"index": 0
}
]
]
},
"Prepare Parameters": {
"main": [
[
{
"node": "Upload to Paperless",
"type": "main",
"index": 0
}
]
]
},
"Upload to Paperless": {
"main": [
[
{
"node": "Upload erfolgreich",
"type": "main",
"index": 0
}
]
]
},
"List a folder": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Download a file": {
"main": [
[
{
"node": "Extract text",
"type": "main",
"index": 0
}
]
]
},
"Download a file1": {
"main": [
[
{
"node": "Prepare Parameters",
"type": "main",
"index": 0
}
]
]
},
"Move a file": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Download a file",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
}
},
"meta": {
"templateCredsSetupCompleted": true
}
}
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.
mistralCloudApinextCloudApiopenAiApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
N8N-Nextcloud-To-Paperless. Uses agent, mistralAi, lmChatOpenAi, outputParserStructured. Event-driven trigger; 20 nodes.
Source: https://gist.github.com/mahype/3dbd8b469a87437b780f4064956c53d0 — original creator credit. Request a take-down →
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