MongoDB integration

What the MongoDB package does

MongoDB (a source-available cross-platform document-oriented database program. Classified as a NoSQL database program) package for performing document or database operations.

MongoDB package for performing CRUD operations on documents, collections, and databases. Provides connection management (Connect/Disconnect with client ID pattern), document operations (insert single/multiple, read with query filters, read all, update with filter/update pairs, delete with query filters), collection management (create, drop, show collections), and database management (create, drop, list databases). Query nodes (ReadDocument, InsertDocument, UpdateDocument, DeleteDocument) accept JSON query filters with Handlebars template support for dynamic values. Authenticates via credential with server, port, auth database, username, and password. Most nodes support both explicit Connect + client ID and inline credentials.

Namespace

Robomotion.MongoDB

Latest version

0.8.0 (17 versions published)

Written in

Go

Categories

Database

MongoDB nodes (14)

These are the node IDs an agentic flow or an RPA bot uses, exactly as they appear in the Flow Designer and in flow code. An agent tool node can also be called by an AI agent on its own. The Toolkit node hands an agent several of the package operations at once.

Platforms

The MongoDB package runs on Windows, macOS and Linux robots. Any Robomotion robot on these operating systems can run a flow that uses it.

How to install the MongoDB package

1. Open Packages in the Robomotion Flow Designer.
2. Search for MongoDB or Robomotion.MongoDB, then click Install on its card.
3. The MongoDB nodes appear in the node palette for everyone in the workspace, because installation is per workspace.

From a terminal, the Robomotion CLI installs the same package:

robomotion install Robomotion.MongoDB

Related integrations

Packages that share a category or keywords with MongoDB. It is filed under Database.

• RedisConnect to Redis and perform key-value operations including strings, hashes, lists, sets, and pub/sub messaging
• BadgerDBBadgerDB is an embeddable, persistent and fast key-value (KV) database.
• BaserowConnect to Baserow and manage rows, tables, and fields. Baserow is an open-source no-code database platform.
• Bika AIConnect to Bika AI and manage spaces, database records, and attachments
• ClickHouseClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.
• LanceDBStore and search embeddings in LanceDB - the embedded vector database. Works against a local directory, S3/GCS/Azure object storage or LanceDB Cloud. Vector, full-text and hybrid search, SQL filters, upserts, indexing, plus a Toolkit that hands the whole database to an AI agent.

MongoDB documentation

The MongoDB package reference on docs.robomotion.io documents each node and its properties.