{"type":"mcp_server","name":"wren-engine","description":"Wren Engine is a semantic engine designed for MCP clients and AI agents, enabling accurate data understanding and retrieval within complex enterprise environments, including trusted calculations and reporting.","category":"AI","language":"Java","stars":658,"forks":57,"owner":"Canner","github_url":"https://github.com/Canner/wren-engine","homepage":"https://getwren.ai/oss","setup":"## Setup\n[MCP Server README](mcp-server/README.md)","tools":"## Available Tools\n\n1. Semantic Engine (Powers AI agents to access business data with accuracy, context, and governance).\n2. Model Context Protocol (MCP) (Connects LLMs with tools, databases, and enterprise systems).\n3. Modeling Definition Language (MDL) (Used for defining data models).\n4. Embeddable Design (Can be integrated into any MCP client or AI agentic workflow).\n5. Interoperability (Works with modern data stacks like PostgreSQL, MySQL, Snowflake).\n6. Semantic-first Approach (Enables AI to understand data models and business logic).\n7. Governance-ready (Respects roles, access controls, and definitions).","faq":null,"created_at":"2022-05-09T07:07:45+00:00","updated_at":"2025-03-28T16:23:51+00:00","source_url":"https://model-context-protocol.com/servers/semantic-engine-mcp-clients-ai-agents","related_articles":[]}