Reltio

Reltio

Lightweight, plugin-based MCP server for advanced entity matching with language models in Reltio.

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Overview

Reltio MCP Server – Developer Edition is a lightweight, plugin-based MCP server designed to enable language-model-assisted entity matching within Reltio environments. It exposes an extensive set of MCP tools that empower developers to query, inspect, and modify Reltio data as part of a unified workflow. Core capabilities include searching entities with advanced filtering, retrieving detailed entity information, updating attributes, and supporting iteration over potential matches. The server also provides merge and reconciliation support, with tools to merge entities, export merge trees, and mark non-matches. Designed for development and testing, it can be run with or without Docker and is configured via a .env file (server name, environment, client credentials, tenant, and auth server). It can be integrated with Claude Desktop App or custom MCP clients (OpenAI, Gemini, etc.) through CLI clients or programmatic interfaces. Setup scripts, installation commands, and a comprehensive test suite are included. An Agent Client enables OAuth-based access to the MCP server for interactive querying. The Developer Edition emphasizes extensibility and tooling to build language-model-powered entity matching within Reltio ecosystems.

Details

Owner
reltio-ai
Language
Python
License
Other
Updated
2025-12-07

Features

Search entities

Search for entities with advanced filtering using the search_entities_tool.

Get entity details

Get detailed information about a Reltio entity by ID with the get_entity_tool.

Update entity attributes

Update specific attributes of an entity in Reltio via update_entity_attributes_tool.

Find potential matches

Unified tool to find potential matches by match rule, score range, or confidence level using find_potential_matches_tool.

Get potential matches stats

Retrieve total, entity-level, and match-rule-level counts of potential matches through get_potential_matches_stats_tool.

Merge entities

Merge multiple entities and manage merge operations with merge_entities_tool.

Reject entity match

Mark a potential match as not a match (reject) using reject_entity_match_tool.

Export merge tree

Export the merge tree for all entities in a tenant with export_merge_tree_tool.

Audience

DevelopersIntegrate MCP-based entity matching with language models in Reltio environments.
Solution architectsConfigure MCP deployments, tool integrations, and client workflows for enterprise Reltio use.

Tags

ReltioMCPentity matchinglanguage modelsClaude Desktop AppDockerplugin-basedOpenAIGeminiClaudeAI tooling