WrenAI

by Canner · MCP Server · ★ 17.4k

About WrenAI

Wren AI - Open-Source GenBI Agent <a aria-label="Canner" href="https://cannerdata.com/?utmsource=github&utmmedi

ai-agentsbigquerybusiness-intelligencechartsclickhousecontext-engineeringdashboarddatabricksduckdbgenbi

Quick Facts

Stars17,350
Forks1,959
LanguagePython
CategoryMCP Server
Quality Score53.6076260287706/100
Open Issues335
Last Updated2026-08-21
Created2024-03-13
Platformscli, mcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with WrenAI for enhanced workflows:

  • dbhub — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • tabularis — semantic(0.18)+complementary+rare_topics+same_lang+shared_platform (50%)
  • mindsdb — semantic(0.19)+complementary+rare_topics+similar_pop (50%)
  • bonnard-cli — semantic(0.15)+complementary+rare_topics+same_lang+shared_platform (49%)
  • anyquery — semantic(0.27)+complementary+rare_topics+similar_pop (48%)

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Frequently Asked Questions

What is WrenAI?

WrenAI is GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data s. It is categorized as a MCP Server with 17.4k GitHub stars.

What programming language is WrenAI written in?

WrenAI is primarily written in Python. It covers topics such as ai-agents, bigquery, business-intelligence.

How do I install or use WrenAI?

You can find installation instructions and usage details in the WrenAI GitHub repository at github.com/Canner/WrenAI. The project has 17.4k stars and 1959 forks, indicating an active community.

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