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wren-engine

by Canner·★ 661·Score 53

An open context engine for AI agents that provides business context and semantic layer over data sources.

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Overview

Wren Engine is a context engine that helps AI agents understand business data instead of just raw tables. It turns business definitions, metrics, relationships, and governance rules into agent-usable context that can be queried through MCP. The engine connects to various data sources and plans queries based on semantic models described in MDL (Modeling Definition Language). It's particularly useful for building agent-native workflows in tools like Claude Code, VS Code, and other MCP-compatible environments.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Natural-language analytics with trusted business definitions
you:AI copilots that answer questions across governed enterprise data
you:Code assistants that need real business context, not just schema dumps
you:What is Wren Engine?
you:How does it integrate with MCP servers?

When to choose this

Choose Wren Engine when your AI agents need to understand business context and metrics beyond raw table schemas, especially for governed enterprise data environments.

When NOT to choose this

Don't choose this if you need direct database access without business context layer or if you're looking for a simple text-to-SQL solution without semantic modeling.

Comparable tools

datahub-mcpsemantic-serversql-to-agent

Installation

Installation

Through MCP

  1. Clone the repository: git clone https://github.com/Canner/wren-engine
  2. Navigate to the MCP server: cd wren-engine/mcp-server
  3. Follow the setup instructions in the README

Through AI Agents

  1. Follow the [Installation guide](https://docs.getwren.ai/oss/engine/get_started/installation)
  2. Set up quickstart with [jaffle_shop example](https://docs.getwren.ai/oss/engine/get_started/quickstart)

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "wren": {
      "command": "uv",
      "args": ["run", "mcp-server", "serve"],
      "env": {
        "WREN_ENGINE_PATH": "/path/to/wren-engine"
      }
    }
  }
}

FAQ

What is Wren Engine?
Wren Engine is an open context engine that helps AI agents understand business data semantics, metrics, relationships, and governance rules instead of just raw tables.
How does it integrate with MCP servers?
Wren Engine includes an MCP server module that exposes tools and resources for AI agents to interact with business context, query data, and access metadata.

On Hacker News

Recent discussion from the developer community.

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Last updated · Auto-generated from public README + GitHub signals.