Reltio AgentFlow™ MCP Server
Learn about the Reltio AgentFlow™ MCP Server and how it enables secure, governed, and role-aware access to trusted data for modern AI agents and enterprise applications.
The Reltio AgentFlow™ Model Context Protocol (MCP) Server is the enterprise-grade, Reltio-hosted edition of the MCP Server. It delivers secure, role-aware access to trusted master data through open-standard APIs. Designed for AI agents, orchestration tools, and business-critical automations, it helps organizations control what data is accessed, how, and by whom—without compromising context, governance, or compliance.
What is the Reltio AgentFlow MCP Server?
The Reltio AgentFlow MCP Server is a managed, production-grade service that exposes Reltio's unified data via permission-aware APIs. It governs requests by filtering, transforming, and routing data to agents and applications based on role, purpose, and policy. It doesn’t just expose data—it interprets it through context-aware logic, so AI systems act with the right understanding.
The diagram below shows how AI-based applications and agents securely access trusted data entities in Reltio through the MCP Server:
Who is it for?
The Reltio AgentFlow MCP Server is designed for teams building intelligent, automated experiences using Reltio data. This content is curated for these Reltio user roles defined in About Reltio user roles:
Reltio Configurator manages match rules, survivorship, and job configurations.
System Administrator monitors system throughput and tenant job performance.
Developer integrates job APIs or manage orchestration for external tools.
Solution Architect designs scalable, observable data processing flows.
Why would I use it?
The AgentFlow MCP Server helps organizations accelerate their AI and automation strategies with:
- Governed access to Reltio-managed data via open-standard APIs
- Support for identity propagation and policy-aware routing
- Real-time responses tailored to roles, permissions, and business intent
- Seamless integration with orchestration platforms and agent frameworks
- Protection against oversharing, underdelivery, or misuse of sensitive attributes
When and where would I use it?
Use the AgentFlow MCP Server whenever AI agents, AI Assistants, or GenAI Apps require controlled access to Reltio data in near real time. Common use cases include:
- Customer support bots retrieving and interpreting trusted profile data
- AI agents generating summaries or actions based on unified entity views
- AI-based Business workflows that depend on high-trust data access at runtime
How does it support my business goals?
The AgentFlow MCP Server bridges AI innovation and enterprise-grade data governance. It ensures:
- AI and automation systems rely on accurate, contextual data
- Risk is reduced through fine-grained access control and logging
- Teams ship faster by using a managed service with a standard ready-to-integrate format
- Compliance and trust are preserved across external-facing applications
The diagram below illustrates how MCP enables AI agents, copilots, and digital systems to consume trusted, context-rich data—driving growth, operational efficiency, and risk management: