Reltio MCP Server – Developer Edition

Overview

The Reltio MCP Server – Developer Edition is a lightweight, plugin‑based Model Context Protocol (MCP) server that bridges advanced entity‑matching capabilities of the Reltio Platform with language models. By exposing a rich set of tools over MCP, it lets AI assistants such as Claude query, modify, and analyze Reltio data without leaving the conversational context. This integration eliminates the need for separate API calls or manual dashboards, enabling developers to embed sophisticated data‑quality workflows directly into AI‑driven applications.

What Problem It Solves

In many enterprises, data about customers, products, or assets lives in a master‑data platform like Reltio. Maintaining consistency and detecting duplicates requires complex queries, rule engines, and manual review. Developers often have to write custom scripts or build UI dashboards to perform these tasks. The Reltio MCP Server removes this friction by providing a unified, language‑model‑friendly interface. AI assistants can now request entity searches, retrieve detailed metadata, propose merges, and audit match histories—all through natural language prompts. This streamlines data governance, reduces manual effort, and accelerates time‑to‑insight.

Core Value for AI Developers

For developers building AI‑powered tools, the server offers a declarative way to interact with Reltio’s extensive data model. Instead of dealing with REST endpoints, authentication flows, and pagination logic, developers can invoke high‑level tools that encapsulate these complexities. The server’s plugin architecture also means new capabilities can be added without altering client code, fostering rapid iteration and feature expansion.

Key Features & Capabilities

• Entity Search & Retrieval: and let users locate entities by attributes or IDs, with advanced filtering options.
• Attribute Management: enables programmatic updates to specific fields, supporting data cleansing workflows.
• Duplicate Handling: , , and provide end‑to‑end duplicate resolution, from identification to merging or rejection.
• Audit & History: Tools such as and expose historical actions, aiding compliance and traceability.
• Metadata Exploration: A suite of tools (, , etc.) gives AI assistants insight into the data model, facilitating intelligent query construction.
• Tenant‑Level Insights: and related tools allow inspection of tenant configuration, permissions, and business rules.

Real‑World Use Cases

• Customer 360 Enrichment: An AI assistant can query for duplicate customer records, suggest merges, and update missing contact details all within a single conversation.
• Product Catalog Governance: Data stewards can use the server to audit product matches, resolve conflicts, and ensure consistent attribute values without leaving the AI chat.
• Compliance Auditing: Regulators can request historical merge activities or entity match histories, receiving concise summaries generated by the language model.
• Developer Onboarding: New developers can explore Reltio’s data model and available tools through conversational queries, speeding up integration learning curves.

Integration with AI Workflows

The server is designed to plug seamlessly into existing MCP clients, including Claude’s Desktop App and custom integrations. Once authenticated with Reltio credentials, the AI assistant receives a catalog of tools that can be invoked as part of a prompt. The server handles authentication, rate‑limiting, and data serialization internally, allowing the assistant to focus on reasoning and user interaction. Developers can extend the tool set by adding new plugins, ensuring that evolving business requirements are reflected instantly in the AI’s capabilities.

Unique Advantages

• Unified Interface: All Reltio operations are accessible through a single MCP endpoint, eliminating the need for multiple SDKs or API gateways.
• Declarative Tooling: High‑level tools abstract away low‑level details, enabling rapid prototyping and iteration.
• Auditability: Built‑in history and activity tools provide transparent traceability, a critical requirement for regulated industries.
• Extensibility: The plugin architecture means new entity‑matching rules, custom attributes, or tenant‑specific logic can be added without disrupting existing workflows.

In summary, the Reltio MCP Server – Developer Edition empowers AI assistants to perform sophisticated data‑matching and governance tasks directly within conversational interfaces, delivering speed, consistency, and compliance to developers working with Reltio environments.