Integration · Operations and Data

Let Agentforce read the document data behind your app

MongoDB stores data as documents in collections, with flexible schemas that let each record carry the fields it needs — the shape most application backends actually use for things like user profiles, activity, and nested product data. When Emerge Digital connects MongoDB to Salesforce Agentforce, an agent can read those documents as they are, nested fields and all, rather than forcing them into rigid columns first. Database roles still govern which collections and fields it may read, so an agent works from the semi-structured app data your backend already relies on.

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What this unlocks

Agents read documents from your MongoDB collections, so a record's nested and varying fields are available as-is instead of being flattened into a rigid table first.
Flexible, evolving schemas are handled naturally, so an agent keeps working even as documents gain fields over time without a migration to catch up.
The application data your backend writes as documents — profiles, events, catalog entries — becomes something an agent can reason over in its native shape.
MongoDB roles scope which collections and fields an agent may read, so semi-structured app data stays governed at the database layer.

In the customer journey

Read a customer profile as it's stored

A support agent pulls a user's document straight from a MongoDB collection, nested preferences and history included, so the answer reflects the full record the app holds rather than a trimmed-down export.

Answer over semi-structured backend data

When a question depends on event or activity documents whose shape varies per record, the agent reads them in their document form, so it reasons over the data the way the application actually stores it.

MongoDB fits the Engage and Convert stages, where a conversation turns on the live, document-shaped state of an application user. An agent grounded in MongoDB can speak to a customer's current profile and in-app activity as the backend records them, giving live document data a place alongside the more structured analytics that inform the Optimize stage.

How Emerge integrates MongoDB

Emerge Digital integrates MongoDB with Agentforce as a consulting engagement, not an app you install. We map which collections and document fields your agents need, define the MongoDB roles that scope read access, and build the retrieval and actions that let an agent read semi-structured documents safely — accounting for the flexible shapes your data takes. Where a read drives a consequential step, we keep a person in the loop. Access is governed by MongoDB roles rather than prompt wording, and the database stays yours while we make its document data answerable inside your agents.

How we structure an engagement

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FAQ

Do agents need our documents flattened into tables first?

No. A reason to connect MongoDB is that agents can read documents in their native, nested shape. Emerge builds the retrieval so an agent reasons over the collections as they are, not a flattened copy.

Is this a pre-built MongoDB connector we install ourselves?

No. Connecting MongoDB to Agentforce is a services engagement. Emerge maps the collections, sets the database roles, and builds the retrieval and actions around your document store rather than shipping a plug-and-play app.

How is access to our collections controlled?

Through MongoDB roles, not the prompt. An agent can only read the collections and fields its roles have been granted, and a person stays in the loop where a read carries weight.

Ground your agents in MongoDB.

Tell us what your agents need to read and write in MongoDB, and we'll design the integration and the governance around it.

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