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The Invocation Pattern

Actively Evolving

Agentic orchestration is one of the fastest-moving areas in enterprise software. Aprimo is actively investing in integrations, tooling, and guidance across orchestration platforms. The patterns documented here reflect our current best understanding — check back regularly as this space develops. Have a use case or question not covered here? Reach out to your Aprimo Customer Success Manager and we will work with you to understand your use case.

What This Pattern Does​

The Invocation Pattern allows an external agent or orchestration platform to take action inside Aprimo. The agent calls Aprimo's APIs to create, update, or trigger things on behalf of a user or an automated process, turning Aprimo into an active participant in your workflows.

Read/Write

This is a read/write pattern. Actions taken through this pattern are auditable inside Aprimo. Design your auth model carefully.

When to Use This Pattern​

Use the Invocation Pattern when an agent needs to do something in Aprimo as part of a broader workflow.

Example use cases:

  • A user submits a campaign brief → agent searches Aprimo and creates a pre-populated collection
  • A batch of records is uploaded → an automated agent validates metadata completeness and writes corrections back
  • A content operations agent downloads an asset from Aprimo and delivers it to a downstream system

How It Works​

The Invocation Pattern has two implementation paths depending on whether a human or an LLM is deciding when and how to call Aprimo.

Orchestration Platform
        |
        ├── REST API  →  Aprimo
        │   (defined workflow, scheduled job, explicit call)
        │
        └── MCP Server  →  Aprimo
            (LLM dynamically selects and calls tools)
REST APIMCP Server
Who decides when to callYour workflow logicThe LLM
Best forScheduled jobs, defined automationChat-based agents, dynamic tool selection
Auth modelService account or per-user OAuthPer-user OAuth

Path 1: REST API​

Use the REST API when your orchestration tool knows exactly what action to take and when — for example, a nightly metadata enrichment job, or a workflow that fires when a record reaches a certain status.

See the DAM API Reference and DAM REST API documentation for endpoint details.

Authentication​

Use Client Credentials for automated service-to-service calls, or Authorization Code with PKCE for user-initiated actions. See the OAuth2 documentation for setup details.

Path 2: MCP Server​

Use the MCP Server when an LLM is driving the interaction — where the user's natural language input determines what Aprimo action gets taken, and the LLM decides which tool to call.

User: "Create a collection from this campaign brief with all approved images"
        ↓
LLM calls: search tool
        ↓
LLM calls: create collection tool
        ↓
LLM calls: add records to collection tool
        ↓
"Done! Here's the link to your new collection."
Released & Rapidly Expanding

Aprimo's MCP Server is released and available, and we are rapidly expanding its tools. Reach out to your Aprimo Customer Success Manager to discuss your use case.

The MCP Server exposes Aprimo capabilities as callable tools that LLMs can discover and invoke dynamically. See MCP Server Tools for the full list of available tools, including search, metadata retrieval, file access, and metadata updates.

What This Pattern Enables​

Metadata enrichment at scale: An agent reviews recently uploaded records, detects missing or inconsistent metadata, and writes corrections back — without manual review.

Brief-to-collection automation: A user completes a campaign brief in one tool. An agent searches Aprimo, creates a collection, and notifies the user — no manual handoffs.

Cross-system content delivery: An agent retrieves public links from Aprimo and populates a CMS, email, or website. The asset stays in Aprimo; only the link moves.

Governance in automated flows: All actions taken via the API are auditable inside Aprimo — automated creates, updates, and workflow triggers appear in the audit log just like manual actions.

Limitations​

LimitationNotes
Write operations are realActions modify Aprimo. Test in a non-production tenant first.
Context window sizeAvoid forwarding large API responses into an LLM context without trimming.
Rate limitsBulk API calls should respect Aprimo's rate limits and use pagination.