by Canner · MCP Server · ★ 663
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Wren Engine The open context engine for AI agents Wren Engine is the open foundation behind Wren AI: a semantic, governed, agent-ready context layer for business data. https://github.com/user-attachments/assets/037f2317-d8e5-41f2-9563-1e0bce4ef50c Why Wren Engine AI agents can already call tools, browse
| Stars | 663 |
| Forks | 199 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61.114173381903/100 |
| Open Issues | 72 |
| Last Updated | 2026-05-06 |
| Created | 2022-05-09 |
| Platforms | java, mcp |
| Est. Tokens | ~2094k |
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wren-engine is The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.. It is categorized as a MCP Server with 663 GitHub stars.
wren-engine is primarily written in Java. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the wren-engine GitHub repository at github.com/Canner/wren-engine. The project has 663 stars and 199 forks, indicating an active community.
wren-engine is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to wren-engine on Agent Skills Hub include MCP-PostgreSQL-Ops, ktx, ktx-ai-data-agents-context. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.