@metabase

Open source Business Intelligence and Embedded Analytics. 🌟 GitHub: https://xitter.cf/t.co/AvOD8jbBIB 📽️ YouTube: https://xitter.cf/t.co/eHsYD5c2WB

 Your database
metabase.com
Joined January 2015
  • Tweets3.1K
  • Following296
  • Followers8.8K
876Media
AI just went open source.  Welcome to Metabase 60 🫶
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New in v64: MCP and CLI usage analytics 🔍 AI governance keeps growing. See which AI clients connect, which tools they call, who’s behind each call, and what failed, for both MCP and the CLI.
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Docs: buff.ly/FCaZO0R.

MCP server | Metabase Documentation

Connect MCP-compatible AI clients to Metabase to search, explore, and query your data through the semantic layer.

metabase.com
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New in v64: Transforms improvements 🔁 Transforms turn your raw data into clean, ready-to-query tables, right from Metabase. Now with indexes that survive every rebuild, lookback windows for late-arriving data, and one-click reruns of everything upstream or downstream.
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Transforms docs: buff.ly/ptRIq8G.

Transforms overview | Metabase Documentation

Transforms allow you to wrangle your data in Metabase, write the query results back to your database, and reuse them in Metabase as sources for new queries.

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AI writes SQL for everyone now, which didn't remove the analytics bottleneck so much as move it from querying to verification. Here's how to build the semantic layer that clears it: buff.ly/7ERW4D9
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New in v64: More AI providers for Metabot 🧺 Pick where your AI runs: a hosted provider, your cloud, or your own vLLM server. Self-host, and nothing leaves your network.
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Run Metabot on (almost) any model. New: @MistralAI, @Zai_org, @deepseek_ai, @Kimi_Moonshot, @googleai, and @OpenRouter, and Self-hosted vLLM. Joining the existing crew: @Anthropicai, @OpenAI, @awscloud Bedrock, and @Azure. Pick yours: buff.ly/xHrh9BT.

Supported AI providers | Metabase Documentation

The AI providers Metabase can connect to, the credentials each one needs, and the models each one offers.

metabase.com
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New in v64: MCP gets a major upgrade 🤖 More and better tools: build dashboards with tabs and filters, set alerts, or write documents. All within your permissions and available on every plan.
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Everything the MCP can do: buff.ly/CYm4dLW.

MCP server tools | Metabase Documentation

The tools Metabase's MCP server exposes to AI clients, the permission each one needs, and the arguments each one takes.

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New in v64: Security hardening 🔒 Require 2FA for everyone, restrict who can reach your instance by IP, and know right away when it’s time to upgrade. Your instance, your rules.
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All the security updates in v64: buff.ly/Th3Zfs3.

Metabase 64

Tighter checks on every request, query and permission, required two-factor authentication, IP allowlists on Metabase Cloud, better MCP server, and Metabot on (almost) any model, including one you...

metabase.com
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Claude Dashboards with @metabase 👀
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Metabase 64 is out, with security hardening across the board 🔒 Tighter checks on every query, required 2FA, IP allowlists, more control over who gets in and what Metabase can reach, and more.
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Of course, there are AI updates too, led by a major MCP upgrade with more and better tools. Full rundown: buff.ly/OWO9Ntc.

Metabase 64

Tighter checks on every request, query and permission, required two-factor authentication, IP allowlists on Metabase Cloud, better MCP server, and Metabot on (almost) any model, including one you...

metabase.com
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Metabase retweeted
NetBird
@netbirdOct 9
My Grok Bot's computer got an upgrade! It runs NetBird on it and can connect to my internal @metabase 🤯 github.com/netbirdio/netbird
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Best way to do this is give a readonly mcp access of @metabase and you will just love to explore prod data and build new dashboards easily.
Arvid Kahl
@arvidkahlOct 11
If you can, supply your coding agents with a read-only user to your prod DB, ideally a read replica. You’d be surprised how much more effective this will make the implementation and testing journey when the agent can look at and verify prod DB data (safely).
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Releases are how new features and fixes reach you. They also used to be a pain to ship. Then one of our engineers got too lazy to keep doing it by hand. Manual checklist every two weeks → fully automated patch every day.
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The story (Windows 95 UI included): buff.ly/FtRQRFB.

More, Better, Faster: How we automate Metabase releases

How we went from a manual Metabase release checklist to fully automated daily patch releases with GitHub Actions, reused test builds, and a three-click release UI

metabase.com
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Spent the past 2 days building my own custom charts on Metabase borrowing ideas from d3.js. The free tier capped my visualizations, so I stopped waiting and started building. @metabase
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BI migrations suck. They suck less if you audit first, agree on your metric definitions once, and tell people what's coming.
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Everything @HeffHQ learned the hard way, written down to make your migration easier: buff.ly/VDukH7s.

Making BI migrations suck less

A four-phase BI migration playbook: audit your dashboards, clean up your data layer, rebuild with AI, and bring stakeholders along.

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