How does OCNORA authenticate with MongoDB?

With a stored Username & password credential, shaped the MongoDB connection string (mongodb://… or mongodb+srv://…) or the store's own secret: an API key, a Postgres password, a MongoDB URI. A connection test can check it when you add it.

What can I automate with MongoDB?

MongoDB has no typed nodes of its own. Your MongoDB connection is used by MongoDB: Database Stats (mongo.db_stats), MongoDB: Find (mongo.find), MongoDB: Insert Document (mongo.insert_one), Vector: Create Collection (vector.create_collection), Vector: Delete (vector.delete), Vector: Describe Collection (vector.describe_collection) and 3 more.

What if the MongoDB operation I need is not listed?

Where MongoDB has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.

Are there templates that use MongoDB?

Not yet. Start from a blank workflow, or describe the workflow to Build with AI.

How are MongoDB calls controlled?

Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.

MongoDB

Databases & warehousesUsername & passwordConnection test available

MongoDB database — ping connectivity test.

MongoDB has no typed nodes of its own: it connects as a stored credential that 9 generic nodes use — the node picks MongoDB from the connection you select.

Ask about MongoDB

Before you connect MongoDB

Authentication

Username & password

Credential

the MongoDB connection string (mongodb://… or mongodb+srv://…)the store's own secret: an API key, a Postgres password, a MongoDB URI

Connection test

Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.

Prerequisites

The connection must belong to the provider the chosen store uses: pinecone, qdrant, weaviate, postgres (pgvector) or mongodb (Atlas). store=in_memory needs no connection. Embedding uses a second, separate connection (embedding_connection_id).

Prerequisites are taken from the connection notes of the nodes listed below that accept your MongoDB credential.

What you can do with MongoDB

Operations of the generic nodes your MongoDB connection drives, grouped by what they do to your data.

Create and send 3

Insert Document
Create Collection
Upsert

Read and search 4

Find
Describe Collection
List Collections
Query

Delete and cancel 1

Delete

Other operations 1

Database Stats

Nodes that use your MongoDB connection

These generic nodes accept your MongoDB credential. Each chooses the provider from the connection you select, so the same node also works with the other providers shown.

MongoDB: Database Stats
mongo.db_stats
Size audit of the cluster: every database's disk/data/index size (listDatabases + dbStats) with per-collection storage stats.
MongoDB: Find
mongo.find
Query documents from a MongoDB collection with a filter.
MongoDB: Insert Document
mongo.insert_one
Insert one document into a MongoDB collection.
Vector: Create Collection
vector.create_collection
Create a collection (index / class / table) sized for one embedding model.
Also works withPinecone Qdrant Weaviate PostgreSQL
Vector: Delete
vector.delete
Delete records from a vector store by id, by metadata filter, or all of them.
Also works withPinecone Qdrant Weaviate PostgreSQL
Vector: Describe Collection
vector.describe_collection
Read one collection's width, metric and record count.
Also works withPinecone Qdrant Weaviate PostgreSQL
Vector: List Collections
vector.list_collections
List the collections a vector store holds.
Also works withPinecone Qdrant Weaviate PostgreSQL
Vector: Query
vector.query
Find the records nearest to a query text or vector, with metadata filtering.
Also works withPinecone Qdrant Weaviate PostgreSQL
Vector: Upsert
vector.upsert
Write documents and their vectors into a vector store, with metadata.
Also works withPinecone Qdrant Weaviate PostgreSQL

A sample MongoDB workflow

1
A core trigger
Start the run from a chat, form, manual, schedule, webhook, workflow trigger — no MongoDB trigger is needed.
2
Findmongo.find
Query documents from a MongoDB collection with a filter.
3
Database Statsmongo.db_stats
Size audit of the cluster: every database's disk/data/index size (listDatabases + dbStats) with per-collection storage stats.

An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.

MongoDB questions

How does OCNORA authenticate with MongoDB?: With a stored Username & password credential, shaped the MongoDB connection string (mongodb://… or mongodb+srv://…) or the store's own secret: an API key, a Postgres password, a MongoDB URI. A connection test can check it when you add it.
What can I automate with MongoDB?: MongoDB has no typed nodes of its own. Your MongoDB connection is used by MongoDB: Database Stats (mongo.db_stats), MongoDB: Find (mongo.find), MongoDB: Insert Document (mongo.insert_one), Vector: Create Collection (vector.create_collection), Vector: Delete (vector.delete), Vector: Describe Collection (vector.describe_collection) and 3 more.
What if the MongoDB operation I need is not listed?: Where MongoDB has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
Are there templates that use MongoDB?: Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
How are MongoDB calls controlled?: Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.

See your first MongoDB workflow run.

Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.

Book a technical demo Talk to sales