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mindsdb/mindsdb

Query Engine for AI Analytics: Build self-reasoning agents across all your live data

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Scored 10 hours ago · breakdown

About mindsdb/mindsdb

mindsdb/mindsdb is an MCP server published by mindsdb in the Browser category: query Engine for AI Analytics: Build self-reasoning agents across all your live data. It has been installed 0 times through Conduid.

The repository has 39K stars and 6.1K forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mindsdb

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v26.1.0v26.1.0 · 23 Apr 2026TL;DR Changes to SQL There have been several notable updates improving SQL support: Additional MySQL API tests, fixes for MSSQL Query Execution Result Conversion, improved scoping on MySQL's get_columns schema and parsing on BigQuery's…
v26.0.1v26.0.1 · 3 Mar 2026TL;DR Changes to Documentation The `README.md` document has been updated. The document now contains the latest instructions and details for users, which will aid in precise understanding and improved user experience. Changes to SQL We have…
v26.0.0v26.0.0 · 25 Feb 2026TL;DR Changes to SQL The update includes several improvements to our SQL capabilities. We've made a fix for `GROUP BY WITH ROLLUP`, making it more reliable and robust. The `MINDSDB_DB_CON` environmental variable now incorporates validation…
v25.14.1v25.14.1 · 21 Jan 2026TL;DR Bug Fixes and Improvements An essential fix was implemented regarding the setting of the schema if provided with connection arguments. This update provides better stability of the platform and ensures smooth data flow, resulting in…
v25.14.0v25.14.0 · 19 Jan 2026TL;DR Changes to SQL The system now has the ability to fix querying columns that contain empty space in the name. This prevents any errors or issues when dealing with column names with spaces. There is support for UNION in IN available due…

README


MindsDB develops the following products:

  • ANTON - A personal AI agent that helps you get work done. Tell it what you need in plain language and it takes it from there - sending emails, calling APIs, connecting to data sources, building dashboards, and delivering results. No setup, no plugins, no fuss.

  • Query Engine - The product you are looking at, is a popular query engine for semantic-search.

What you can build with MindsDB Products

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. Try Anton 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 - Query Engine works

MindsDB - Query Engine 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.

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:latest

Usage

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"
);

Join vectorized and structured data inside a knowledge base. Combine semantic search with precise metadata criteria in a single SQL query.

--create a knowledge base for customer issues 
CREATE KNOWLEDGE_BASE customers_issues
USING
  storage = my_vector.db,
  content_columns = ['ticket_description'];
  metadata_columns = ['customer_name', 'segment', 'revenue', 'is_pending_renewal'];

--find large customers who submitted ticket related to data security topics  
SELECT * FROM customers_issues
WHERE content = 'data security'
AND
  is_pending_renewal = 'true'.
  revenue > 1000000;

Use MindsDB pre-packaged data agents and connect them with your own. See how to use MindsDB via API or MCP.

CREATE AGENT my_agent
USING
    model = {
        "provider": "openai",
        "model_name" : "gpt-xx",
        "api_key": "sk-..."
    },
    data = {
         "knowledge_bases": ["mindsdb.customer_issues"],
         "tables": ["salesforce.opportunities", "postgres.sales", "mongodb.support_tickets"]
    },
    prompt_template = 'my prompt template and agent guidance';

See MindsDB’s recommended usage of agents here and how to automate workflows with jobs.

📃 Tutorials

  • Enterprise Knowledge Search (example)
  • Advanced Semantic Search (example)
  • Customer Support Automation (example1, example2)
  • Intelligent Content Discovery (example)
  • Financial Analysis Agents (example)
  • Real-time AI-powered analytics (example)
  • Conversational Data Assistants (example)
  • CRM Intelligence (example)
  • Compliance & Customer Intelligence (example)
  • Conversation Intelligence (example) Subscribe to our (blog) for more

🫴 Help and support

Stuck on a query? Found a bug? We’re here to help.

Security Note: If you find a security vulnerability, please do not open a public issue. Refer to our security policy for reporting instructions.

🤝 Contribute to MindsDB

MindsDB is open source and contributions are welcome! You can submit code changes through pull requests or by opening issues to report bugs, suggest new features, or enhancements.

Ways you can help:

  • Develop a database integration
  • Develop an app integration
  • Identify and fix bugs

How to contribute

  • Read the contribution guide to get set up.
  • Browse open issues.
  • Join the #contributors channel in Slack.
  • Explore community rewards and programs.

Our top 100 contributors

Made with contrib.rocks

📚 Resources

  • Documentation
  • Blog
  • Events
  • Community Slack
  • Brand guidelines
  • Contact form

README mirrored from the source repository 10 hours ago. The original is authoritative.

Questions

About mindsdb/mindsdb

How do I install mindsdb/mindsdb?

Run npx mindsdb, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is mindsdb/mindsdb safe to use with an AI agent?

Its trust score is 92 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mindsdb/mindsdb still maintained?

Yes — the latest release is v26.1.0 (23 Apr 2026), and the last commit was 6 months ago. The repository has 39K stars and 0 open issues.