WrenAI MCP Server
Canner/WrenAI
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 sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Canner/WrenAI is a Python tool. 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 sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more. Topics: bigquery, duckdb, llm, postgresql, rag, text-to-sql, sql, text2sql, charts, context-engineering, genbi, ai-agents, business-intelligence, clickhouse, dashboard, databricks, generative-ai, mcp, semantic-layer, snowflake.
Ranked #1114 out of 24840 indexed tools.
In the top 5% of all indexed tools.
Has 17,746 GitHub stars.
Has 87 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
17,746 stars → extremely popular
Last commit 1d ago → actively maintained
361/669 issues closed → decent issue management
87 contributors → active community
No dependents → no downstream usage
4,934 weekly installs → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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### Open-source GenBI for AI agents
**Your agents generate governed SQL, deploy dashboards, and keep business definitions in Git, across 22+ data sources.**
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**[Get started in 3 commands ↓](#quickstart)** · **[Read the docs →](https://docs.getwren.ai)** · **[Join Discord →](https://discord.gg/5DvshJqG8Z)**
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<a href="https://trendshift.io/repositories/9263" target="_blank"></a>
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## What WrenAI is
WrenAI is the open-source **generative BI (GenBI) engine**. It gives the AI agents you already use (Claude Code, Cursor, MCP clients, LangChain) a **governed semantic layer** and an **AI context layer**, so they turn business questions into correct SQL, ship the answer as a shareable dashboard, and stay inside your guardrails.
Schemas tell an agent where data Read full README on GitHub → Get the weekly AgentRank digest
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