Grounding Salesforce Agentforce with Neo4j — multi-agent setup over MCP

Neo4j describes a no-code, multi-agent integration in which Salesforce Agentforce uses the Model Context Protocol (MCP) to send natural-language business questions to Neo4j Aura Agent, which handles graph-specific reasoning and returns grounded recommendations. Using a Northwind retail example, the Aura Agent can identify a customer, analyze purchase history, determine an unavailable frequently ordered product, find suitable in-stock alternatives in the same category, rank them, and provide supporting evidence through deterministic Cypher Templates. Agentforce remains responsible for employee interaction, intent routing, Salesforce permissions, and potential CRM workflows, while Aura Agent owns graph traversal, domain rules, and retrieval logic. Unlike a prompt template, Aura Agent includes planning, tool selection, graph retrieval, and publishing through secured REST or MCP endpoints. The architecture uses machine-to-machine authentication and read-only Aura operations, while keeping graph schemas, ranking rules, privacy constraints, and Cypher logic on the Neo4j side so Salesforce can continue submitting stable business-level requests.

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