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Wren Engine

by Canner

Wren Engine is the Semantic Engine for MCP Clients and AI Agents, designed to power the future of MCP clients and AI agents through the Model Context Protocol (MCP). It provides a semantic engine that enables AI agents to access business data with accuracy, context, and governance.

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What is Wren Engine?

Wren Engine is a semantic engine that empowers AI agents to access business data with accuracy, context, and governance. It's built to be embeddable, interoperable, semantic-first, and governance-ready.

How to use Wren Engine?

Wren Engine can be embedded into any MCP client or AI agentic workflow. It interoperates with modern data stacks like PostgreSQL, MySQL, and Snowflake. The project consists of 4 main modules: ibis-server, wren-core, wren-core-py, and mcp-server. Refer to the documentation for quick start guides and developer guides.

Key features of Wren Engine

  • Embeddable into any MCP client or AI agent

  • Interoperable with modern data stacks

  • Semantic-first, enabling AI to understand data models

  • Governance-ready, respecting roles and access controls

Use cases of Wren Engine

  • Powering AI agents with precise business context

  • Ensuring accurate data interactions across diverse enterprise environments

  • Enabling accurate semantic understanding of data models

  • Trusted calculations and aggregations in reporting

FAQ from Wren Engine

What is MCP?

MCP stands for Model Context Protocol, a new open standard that connects LLMs with tools, databases, and enterprise systems.

What is the purpose of Wren Engine?

Wren Engine provides a semantic layer that enables AI agents to access business data with accuracy, context, and governance within an enterprise environment.

What databases does Wren Engine support?

Wren Engine is interoperable with modern data stacks like PostgreSQL, MySQL, and Snowflake.

Is Wren Engine ready for production use?

Wren Engine is currently in beta, with active development and bi-weekly releases.

Where can I get help with Wren Engine?

You can join the Discord server for feedback and visit Github Issues for any issues.