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@reltio-ai

Reltio AI

Agentic AI for trusted data. Building the future of data-driven automation with secure, real-time, open interfaces. Powered by Reltio.

👋 Welcome to Reltio AI

We’re building the foundation for agentic AI in the enterprise — where intelligent agents can take action on trusted, real-time data using secure, standardized interfaces.

⚙️ What is AgentFlow?

AgentFlow is Reltio’s next-generation Agentic AI platform, combining secure, real-time data from Reltio’s Intelligent Data Graph with autonomous and interactive AI agents.

It enables a new class of digital workers (resolvers, enrichers, verifiers, etc.) that can perform complex data stewardship operations with minimal human input — all while ensuring strict governance, traceability, and compliance.

AgentFlow is powered by Model Context Protocol (MCP).


🔌 What is the Model Context Protocol (MCP)?

MCP is an open standard that allows AI agents (LLMs, orchestrators, or tools like Claude, LangChain, CrewAI) to discover and invoke secure APIs — called “tools” — in a structured and semantically rich way.

Reltio’s implementation of MCP lets agents interact with enterprise master data (search, match, merge, enrich, etc.) without needing custom APIs or unsafe exports.


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  1. reltio-mcp-server reltio-mcp-server Public

    Python 1

  2. reltio-mcp-strands-client reltio-mcp-strands-client Public

    Sample Python client for connecting Strands AI agents to Reltio AgentFlow MCP Server. Built on the Strands AI Agents Framework with OAuth 2.0 authentication and native MCP support. Educational code…

    Python 1

  3. .github .github Public

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