AutomationFlows › MongoDB

n8n workflows for MongoDB.

All n8n workflows that use the MongoDB integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.

Most-used MongoDB workflows

  1. Build a Multi-modal Telegram AI Assistant with Gemini, Voice & Image Generation (95 nodes)
  2. University Faq & Calendar Assistant with Telegram, Mongodb and Gemini AI — n8n MongoDB workflow (91 nodes)
  3. Build a Whatsapp AI Shopping Bot with Virtual Try-on Using Gemini and Gpt (83 nodes)
  4. Content Farming - : Ai-powered Blog Automation for Wordpress — n8n MongoDB workflow (81 nodes)
  5. N8n Automated Twitter Reply Bot Workflow (55 nodes)
  6. Document Q&a System with Voyage-context-3 Embeddings and Mongodb Atlas — n8n MongoDB workflow (53 nodes)
  7. My Workflow 3 (@tavily/n8n Nodes Tavily) (45 nodes)
  8. Score Dns Threats with Virustotal, Abuse.ch, Hashicorp Vault and Gemini — n8n MongoDB workflow (40 nodes)
  9. Reviewflow (33 nodes)
  10. Create and Manage Short Urls with Telegram Bot, Mongodb and Nginx Redirects — n8n MongoDB workflow (29 nodes)
AI & RAG

This workflow creates a multi-talented AI assistant named Simran that interacts with users via Telegram. It can handle text and voice messages, understand the user's intent, and perform various tasks.

MongoDB, Chain Llm, Google Gemini Chat +11
AI & RAG

This project is a template for building a complete academic virtual assistant using n8n. It connects to Telegram, answers frequently asked questions by querying MongoDB, keeps the community informed a

Telegram, MongoDB, Telegram Trigger +6
AI & RAG

📌 Overview

Redis, WhatsApp, OpenAI Chat +12
AI & RAG

We’ve released Version 4 of our AI Powered Blog Automation workflow. We heard your complains and made a complete redesign built for serious content creators.

RSS Feed Read, OpenAI Chat, Text Classifier +6
Social Media

N8N Automated Twitter Reply Bot Workflow

MongoDB, Execute Workflow Trigger, @Apify/N8N Nodes Apify +6
AI & RAG

On my never-ending quest to find the best embeddings model, I was intrigued to come across Voyage-Context-3 by MongoDB and was excited to give it a try.

HTTP Request, Execute Workflow Trigger, MongoDB +6
AI & RAG

My workflow 3. Uses @tavily/n8n-nodes-tavily, googleGemini, mongoDb, n8n-nodes-linked-api. Scheduled trigger; 45 nodes.

@Tavily/N8N Nodes Tavily, Google Gemini, MongoDB +2
AI & RAG

An end-to-end Cyber Threat Intelligence pipeline that turns raw DNS traffic into actionable security verdicts — without manual triage, without leaking credentials, and without alert fatigue.

MySQL, HTTP Request, N8N Nodes Hashi Vault +4
AI & RAG

ReviewFlow. Uses executeWorkflowTrigger, httpRequest, mongoDb, agent. Event-driven trigger; 33 nodes.

Execute Workflow Trigger, HTTP Request, MongoDB +4
Slack & Telegram

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Telegram Trigger, MongoDB, Telegram
AI & RAG

The system collects real-time wearable health data, normalizes it, and uses AI to analyze trends and risk scores. It detects anomalies by comparing with historical patterns and automatically triggers

Postgres, Agent, OpenAI Chat +7
Email & Gmail

This workflow automatically converts raw meeting recordings or written notes into concise summaries, stores them in MongoDB for future reference, and distributes the summaries to all meeting participa

HTTP Request, MongoDB, Mailchimp
Web Scraping

Scrape And Store Data From Multiple Website Pages. Uses manualTrigger, httpRequest, htmlExtract, splitInBatches. Event-driven trigger; 23 nodes.

HTTP Request, Html Extract, MongoDB +5
Web Scraping

extract_swifts. Uses manualTrigger, httpRequest, htmlExtract, splitInBatches. Event-driven trigger; 23 nodes.

HTTP Request, Html Extract, MongoDB +5
Data & Sheets

DAta lake 1. Uses openAi, httpRequest, googleSheets, mongoDb. Webhook trigger; 23 nodes.

OpenAI, HTTP Request, Google Sheets +1
AI & RAG

agentic-task-automator. Uses gmailTrigger, mongodb, openAi, googleCalendar. Event-driven trigger; 20 nodes.

Gmail Trigger, MongoDB, OpenAI +4
Data & Sheets

This n8n template provides a production-ready, memory-safe pipeline for ingesting large Hugging Face datasets into MongoDB using batch pagination. It is designed as a reusable data ingestion layer for

Execute Workflow Trigger, HTTP Request, MongoDB
General

Send Rss Feed Data To Webhook. Uses manualTrigger, rssFeedRead, splitInBatches, noOp. Event-driven trigger; 18 nodes.

RSS Feed Read, MongoDB, HTTP Request
General

RSS Feed -> MongoDB -> Webhook. Uses manualTrigger, rssFeedRead, splitInBatches, noOp. Event-driven trigger; 18 nodes.

RSS Feed Read, MongoDB, HTTP Request
Data & Sheets

This workflow consolidates data from five different systems — Google Sheets, PostgreSQL, MongoDB, Microsoft SQL Server, and Google Analytics — into a single master Google Sheet. It runs on a scheduled

Google Sheets, Postgres, MongoDB +2
AI & RAG

first Flow. Uses agent, lmChatOpenAi, n8n-nodes-mcp, memoryMongoDbChat. Webhook trigger; 17 nodes.

Agent, OpenAI Chat, N8N Nodes Mcp +2
Data & Sheets

This n8n workflow securely processes contact form submissions by validating user input, formatting the data, and storing it in a MongoDB database. The flow ensures data consistency, prevents unsafe en

Form Trigger, MongoDB, Form
Data & Sheets

⚠️ COMMUNITY TEMPLATE DISCLAIMER: This is a community-contributed template that uses ScrapeGraphAI (a community node). Please ensure you have the ScrapeGraphAI community node installed in your n8n ins

N8N Nodes Scrapegraphai, MongoDB, Mailgun
Slack & Telegram

Fetch New Proposals. Uses httpRequest, mongoDb, telegram. Manual trigger; 16 nodes.

HTTP Request, MongoDB, Telegram
AI & RAG

My workflow 3. Uses agent, n8n-nodes-mcp, lmChatOpenAi, mongoDb. Scheduled trigger; 15 nodes.

Agent, N8N Nodes Mcp, OpenAI Chat +1
AI & RAG

multi-agents-with-Scheduling-v2. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 14 nodes.

Chat Trigger, Agent, OpenAI Chat +3
Email & Gmail

This workflow runs on a daily schedule to monitor users currently on a trial plan. It fetches user data from MongoDB, calculates their trial stage, and assigns a trigger label such as Day 3, Day 7, Da

MongoDB, Gmail
AI & RAG

lab3-solvedLab2-v2 copy. Uses memoryBufferWindow, agent, n8n-nodes-mcp, lmChatOpenAi. Scheduled trigger; 13 nodes.

Memory Buffer Window, Agent, N8N Nodes Mcp +2
AI & RAG

multi-agents-n8n_mcp_client_for_fb_post_comment_with_gpt_oss_120b_NativeMCPServerApify-Mongodb-v3. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 12 nodes.

Chat Trigger, Agent, OpenAI Chat +3
AI & RAG

NCompanyProfiling. Uses agent, lmChatGoogleGemini, mongoDb, outputParserStructured. Event-driven trigger; 11 nodes.

Agent, Google Gemini Chat, MongoDB +3
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Perplexity, MongoDB, Gmail
AI & RAG

NCompanyProfiling. Uses agent, lmChatGoogleGemini, mongoDb, outputParserStructured. Event-driven trigger; 11 nodes.

Agent, Google Gemini Chat, MongoDB +3
Social Media

Etl Pipeline For Text Processing. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Twitter, Postgres, MongoDB +2
Slack & Telegram

Schedule Slack. Uses httpRequest, scheduleTrigger, mongoDb, stickyNote. Scheduled trigger; 9 nodes.

HTTP Request, MongoDB, Slack
Social Media

ETL pipeline. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Twitter, Postgres, MongoDB +2
Slack & Telegram

This automated workflow fetches Upwork job postings using Apify, removes duplicate job listings via MongoDB, and sends new job opportunities to Slack. Automated job retrieval from Upwork via Apify API

HTTP Request, MongoDB, Slack
Data & Sheets

External Integrations Workflow. Uses start, httpRequest, mongoDb, postgres. Manual trigger; 9 nodes.

Start, HTTP Request, MongoDB +4
Data & Sheets

ETL pipeline for text processing. Uses twitter, postgres, mongoDb, slack. Scheduled trigger; 9 nodes.

Twitter, Postgres, MongoDB +2
AI & RAG

UserProfiling. Uses readWriteFile, agent, lmChatGoogleGemini, mongoDb. Event-driven trigger; 8 nodes.

Read Write File, Agent, Google Gemini Chat +2
Data & Sheets

Login. Uses mongoDb, jwt. Webhook trigger; 8 nodes.

MongoDB, Jwt
AI & RAG

lab2-original-update copy copy 2. Uses agent, lmChatOpenAi, n8n-nodes-mcp, mongoDb. Scheduled trigger; 8 nodes.

Agent, OpenAI Chat, N8N Nodes Mcp +1
General

Register. Uses respondToWebhook, mongoDb. Webhook trigger; 7 nodes.

MongoDB
Data & Sheets

My Workflow. Uses start, mongoDb, httpRequest, localFileTrigger. Event-driven trigger; 7 nodes.

Start, MongoDB, HTTP Request +1
Data & Sheets

CyberShield Universal Workflow v4. Uses mongoDb, ssh, httpRequest. Webhook trigger; 7 nodes.

MongoDB, Ssh, HTTP Request
Data & Sheets

UFRO PP3 Orchestrator Workflow. Uses httpRequest, mongoDb. Webhook trigger; 7 nodes.

HTTP Request, MongoDB
General

Data Recovery. Uses executeWorkflowTrigger, informationExtractor, lmChatGoogleGemini, mongoDb. Event-driven trigger; 6 nodes.

Execute Workflow Trigger, Information Extractor, Google Gemini Chat +1
Data & Sheets

Fluxo 2. Uses mongoDb. Webhook trigger; 6 nodes.

MongoDB
Data & Sheets

CyberShield — Attack Executor. Uses mongoDb, ssh, httpRequest. Webhook trigger; 6 nodes.

MongoDB, Ssh, HTTP Request
General

Job Scraping Scheduler. Uses scheduleTrigger, httpRequest, mongoDb. Scheduled trigger; 5 nodes.

HTTP Request, MongoDB
General

Bookings. Uses jwt, mongoDb. Webhook trigger; 5 nodes.

Jwt, MongoDB
Data & Sheets

Seoul hackathon. Uses httpRequest, mongoDb. Webhook trigger; 5 nodes.

HTTP Request, MongoDB
Data & Sheets

Fluxo 1. Uses mongoDb, readWriteFile. Event-driven trigger; 5 nodes.

MongoDB, Read Write File
Data & Sheets

Chat History Lookup. Uses executeWorkflowTrigger, mongoDb. Event-driven trigger; 4 nodes.

Execute Workflow Trigger, MongoDB
Email & Gmail

Flow. Uses mongoDb, stripe, intercom, mailchimp. Webhook trigger; 10 nodes.

MongoDB, Stripe, Intercom +3
Social Media

Content Publishing - Blog to Social. Uses filesWatcher, readFile, httpRequest, twitter. Manual trigger; 8 nodes.

Files Watcher, Read File, HTTP Request +4
AI & RAG

Cover Letter Generator. Uses agent, outputParserStructured, lmChatGoogleGemini, mongoDb. Webhook trigger; 8 nodes.

Agent, Output Parser Structured, Google Gemini Chat +1
Slack & Telegram

Flow. Uses intercomTrigger, intercom, slack, mongoDb. Event-driven trigger; 7 nodes.

Intercom Trigger, Intercom, Slack +1
Email & Gmail

Flow. Uses httpRequest, sendGrid, mongoDb. Webhook trigger; 7 nodes.

HTTP Request, SendGrid, MongoDB
Data & Sheets

Calendars. Uses jwt, mongoDb. Webhook trigger; 4 nodes.

Jwt, MongoDB
Data & Sheets

Insert A Document In Mongodb. Uses manualTrigger, mongoDb. Event-driven trigger; 3 nodes.

MongoDB
Data & Sheets

MongoDB. Uses mongoDb. Event-driven trigger; 2 nodes.

MongoDB

62 of 62 workflows in this view · Browse all →

FAQ

How many n8n MongoDB workflows are in the catalog?

62 n8n workflows in AutomationFlows currently use the MongoDB integration — triggers, actions, or both.

How do I connect MongoDB in n8n?

After importing the workflow JSON, n8n will prompt for MongoDB credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.

Can I combine these with other integrations?

Yes — most MongoDB workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.