(5/5)

MongoDB Agent

Automated workflow: MongoDB Agent. This workflow integrates 8 different services: stickyNote, agent, mongoDbTool, stopAndError, lmChatOpenAi. It contains 9 nodes and follows best practices for error handling and security.

Integrations Used (1)

Mongodbtool

Workflow Structure (8 nodes)

100%

Manual Trigger

Stop And Error

Error Handler

No Op

When chat message received

No Op

OpenAI Chat Model

No Op

AI Agent - Movie Recommendation

No Op

Window Buffer Memory

Mongo Db Tool

MongoDBAggregate

No Op

insertFavorite

Node Types:

trigger

default

action

Requires credentials

Prerequisites

Required Credentials (2)

Mongo Db

Used by: MongoDBAggregate

Docs

OpenAI

Used by: OpenAI Chat Model

Docs

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~25 min

Score: 33/100

4 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "22PddLUgcjSJbT1w",
  "meta": {
    "instanceId": "workflow-a08d2974",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:50.996768",
    "updatedAt": "2025-09-29T07:07:50.996778",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "MongoDB Agent",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...