- Home
- Data & Databases
- Mindsdb
Mindsdb
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
Rating
Votes
0
score
Downloads
0
total
Price
Free
API key required
Works With
About
Website · Docs · Contact us for a demo · Community Slack
MindsDB is a popular open-source query engine for AI analytics, powering AI agents that need to answer questions directly from databases, data warehouses, and applications, with no ETL required.
What you can build with MindsDB Query Engine
| CONVERSATIONAL ANALYTICS AGENTS | SEMANTIC SEARCH AGENTS |
|---|---|
| Get precise, data-driven answers using natural language. Unify and query data across sources (MySQL, Salesforce, Shopify, etc.), without ETL. Watch video | Ground LLM responses in your most relevant internal knowledge. Search across unstructured sources like documents, support tickets, Google Drive, and more. Watch video |
How MindsDB works
MindsDB follows a simple workflow: Connect → Unify → Respond. At the center is an SQL-compatible data language with additional constructs for searching unstructured data, managing workflows (jobs/triggers), and building agents.
Connect
Universal data access: Give your agents federated access to 200+ live data sources (Postgres, MongoDB, Slack, files, and more).
Unify
Dynamic context engine: Fuse structured tables with vectorized data (text, PDFs, HTML) inside a Knowledge Base.
Respond
Autonomous reasoning: Deploy agents that blend and retrieve data points across your stack to produce grounded answers.
Setup
Users can install MindsDB via Docker, Docker Extension, or PyPI.
Here is how to pull and run MindsDB via Docker:
docker run --name mindsdb_container \
-e MINDSDB_APIS=http,mysql \
-p 47334:47334 -p 47335:47335 \
mindsdb/mindsdb:latestUsage
Follow the quickstart guide to get started with MindsDB using our demo data.
Retrieve and analyze data from over 200 data sources in one SQL dialect. For AI agents, this means faster response time, better accuracy, and lower token consumption.
--use SQL to aggregate pipeline data from Salesforce
SELECT SUM(ExpectedRevenue) AS open_pipeline
FROM salesforce.opportunities
WHERE close_date >= CURDATE()
--use the same dialect to retrieve even from a non-SQL database, like MondoDB
SELECT COUNT(*) AS negative_emails_last_30_days
FROM mongodb.support_tickets
WHERE sentiment = 'negative'
AND created_at >= CURRENT_DATE - INTERVAL '30 days';Create views and join data even from different types of data systems.
--join MongoDB and Salesforce data
CREATE VIEW risky_renewals AS (
SELECT *
FROM mongodb.support_tickets AS reviews
JOIN salesforce.opportunities AS deals
ON reviews.customer_domain = deals.customer_domain
WHERE deals.type = "renewal"
AND reviews.sentiment = "negative"
);Don't lose this
Three weeks from now, you'll want Mindsdb again. Will you remember where to find it?
Save it to your library and the next time you need Mindsdb, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Query Engine for AI Analytics: Build self-reasoning agents across all your live data. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
Ratings & Reviews
0.0
out of 5
0 ratings
No reviews yet. Be the first to share your experience.