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Mindsdb logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 6:49:56 PM

Mindsdb

User RatingsBe the first to rate and review this MCP server!
View Repository39.7k GitHub StarsTotal stargazers on GitHub for the source repository (39,720 stars).Visit Website
aidata-integrationautomationagentsmodels

Unified workspace to connect data, route work to AI models, run agents, and publish AI-powered apps and reports.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for mindsdb/mindsdb, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ”— More in Aggregators

Overview

MindsHub provides a unified platform to connect and unify data from multiple sources and route tasks to various AI models and open-source agents. It enables automation of multi-step workflows, creation of AI-powered internal tools, and publishing of results as live web applications. The platform supports switching between proprietary and open models without reconfiguring keys and offers features like memory, skill libraries, and scheduling. It can be used via web, desktop apps, or built from source for local deployment.

Use cases

β€’Automate multi-step workflows involving data reading and writing
β€’Build AI-powered internal tools like dashboards, reports, and apps
β€’Connect and unify data from platforms like BigQuery, Postgres, Gmail, and Notion
β€’Switch between multiple AI models without reconfiguring credentials
β€’Publish AI-generated artifacts to live URLs for team sharing

Key features

β€’Secure data vault connecting diverse platforms with scoped credentials
β€’Model router supporting frontier and open-source AI models
β€’Interchangeable open-source agent harnesses (Anton and Hermes)
β€’Output artifacts as documents, dashboards, apps, and code
β€’Cross-session memory, reusable skill library, and scheduled tasks

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Mindsdb.

Extracted Tool Capabilities
Secure data vault connecting diverse platforms with scoped credentials
Model router supporting frontier and open-source AI models
Interchangeable open-source agent harnesses (Anton and Hermes)
Output artifacts as documents, dashboards, apps, and code
Cross-session memory, reusable skill library, and scheduled tasks

Documentation Overview

MindsHub β€” The best intelligence should be open.

MindsHub is an agent workspace for completing knowledge work and developing software, with open-source agent harnesses and a choice of models.

Release Stars License: MIT Python 3.10–3.13

Website Β· Docs Β· Web app Β· Pricing Β· Discord

Read this in: δΈ­ζ–‡ Β· EspaΓ±ol Β· PortuguΓͺs Β· ΰ€Ήΰ€Ώΰ€¨ΰ₯ΰ€¦ΰ₯€

MindsHub agent workspace

MindsHub gives you the freedom to choose among models and providers instead of being locked into one ecosystem. Use its agent workspace for research, analysis, content creation, and software development. It is open source and can run on your machine, in your VPC, or through the hosted app.

This repository is the platform superproject: it pulls together the desktop/web app, the agent backend, and the data engine so you can build and run the whole stack from source.

For building intelligence into agents and products through one API, see MindsHub Inference. It provides a choice of models and providers with one set of controls and one bill.

Get started

Pick whichever fits:

  • Web β€” nothing to install. Open console.mindshub.ai and sign in.
  • macOS. Download the desktop app (.pkg).
  • Windows. Download the desktop app (.exe).
  • Linux. Build from source.

Free to start. Pro adds all frontier models and private artifacts β€” see pricing.

What you can do

For every knowledge worker β€” creators, strategists, and operators:

  • Automate repetitive, multi-step work that involves reading and writing: reports, monitoring, recurring workflows, and scheduled operations.
  • Build internal AI tools and artifacts β€” apps, dashboards, decks, docs, analyses β€” without engineering, and publish them to a live URL to share with your team.

What's inside

  • Connected data. A secure vault links systems like BigQuery, Postgres, Gmail, Drive, HubSpot, Notion, and Linear. Credentials stay scoped per connection β€” agents never see raw keys.
  • Model Router. Switch between frontier models (Claude, GPT, Gemini) and open models (DeepSeek, Qwen, Kimi) without wiring up a key for each provider.
  • Open agents. Run interchangeable open-source harnesses β€” Anton (default) and Hermes β€” swappable from a dropdown.
  • Artifacts. Turn agent output into documents, dashboards, apps, and code, and publish to a live URL.
  • Memory, skills & scheduling. Cross-session memory, a reusable skill library, and tasks that run on a schedule.

Build from source

1. Clone the repository

bash
git clone --recurse-submodules https://github.com/mindsdb/minds.git
cd minds

2. Install dependencies

bash
make setup

3. Run

ModeCommand
Desktop app (Electron) with hot reloadmake dev or make watch
Web app in browser with hot reloadmake dev-web
Production buildmake build
Package for macOSmake dist-mac
Package for Windowsmake dist-win
Build macOS .app from local uncommitted sourcemake pack-local
Wipe all local installs + data (fresh start)make flush

Fresh start: make flush removes the local runtime (the cowork-server uv tool and the backend/*/.venvs) and deletes app state in ~/.anton (provider keys) and ~/.cowork (database, hermes, projects). Use it to test the from-scratch install flow or recover from a broken install. It prompts for confirmation β€” pass FORCE=1 to skip. The next make setup or app launch reinstalls everything. ⚠️ This deletes your conversations and saved keys.

Working on feature branches (submodules)

This repo is a superproject that pins each module (frontend, backend/core_api, backend/core_agent, backend/data-vault) to a commit. To work on module branches without polluting git status or fighting over pins:

1. Pick your branches in a gitignored dev.env (copy the template):

bash
cp dev.env.example dev.env      # then set REF=feat/my-thing (or per-module API_REF=…)

2. make follows it β€” one knob, both run paths:

CommandWhat it does
make usecheck out your dev.env refs across all submodules
make dev / make watchrun the Electron app with live reload against local source
make dev-webrun the web SPA with live reload against local source
make server + make app(re)install the desktop server from the configured branch, then launch
make server-local + make app-localinstall the desktop server from local uncommitted source, then launch
make pack-localbuild the macOS .app from local uncommitted source (no push needed)
make refsshow which refs the next run will use
make baselinereset submodules to the pinned commits
make pinrecord the current submodule commits as the superproject's pins (one deliberate commit)

Submodules are configured with ignore = all, so your branch work never shows up as superproject changes β€” the parent git status stays clean. Pins move only via make pin. See CLAUDE.md for the full workflow.

Deploy anywhere

MindsHub is built for flexible deployment β€” cloud, VPC, on-prem, air-gapped, and hybrid infrastructure β€” so you keep full control over your infrastructure, models, permissions, and data.

Help & support

  • Ask a question β€” join the Discord community.
  • Report a bug β€” open a GitHub issue with reproduction steps.
  • Read the docs β€” guides, setup, and the API at docs.mindshub.ai.
  • Enterprise SLAs or custom deployments β€” contact the team.

🀝 Contribute

MindsHub is open source and contributions are welcome β€” code, integrations, docs, bug reports, and feature ideas. Read the docs to get set up, browse open issues, and say hi on Discord.

πŸ”’ Security

Found a security vulnerability? Please don't open a public issue. Report it privately through our security policy.

πŸ“š Resources

  • Documentation
  • Blog
  • Brand guidelines & press kit
  • Discord community

πŸ“„ License

This repository is released under the MIT License. Bundled components are governed by their own licenses β€” see each submodule's repository for details.

(back to top)

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
39k
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Mindsdb

You can use the web app by signing in at console.mindshub.ai without installing anything.

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Technical Specs & Signals

CategoryπŸ”—Aggregators
PricingFreemium
More technical detailsExpand β–Ύ
AuthAPI key
LicenseMIT
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars39,720
GitHub Star CountTotal stargazers on GitHub representing community popularity (39,720 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 10, 2026
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools13/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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