MindsDB MCP server Details
MindsDB ships with a built-in MCP (Model Context Protocol) server that enables MCP applications to connect, unify and respond to questions over large-scale federated data. It spans databases, data warehouses, and SaaS applications, allowing you to query across diverse sources in a unified manner. The MCP server is integrated into MindsDB's architecture with the Connect-Unify-Respond philosophy, and you can learn more about MCP at docs.mindsdb.com/mcp/overview. You can install MindsDB Server via Docker Desktop or Docker, and the MCP server is part of the standard MindsDB deployment.
Use Case
The MindsDB MCP server enables MCP clients to connect to MindsDB, unify data across federated sources, and respond to questions. It supports cross-source querying across databases, data warehouses, and SaaS applications. Example usage in the docs indicates the MCP server is built into MindsDB for seamless interaction via the MCP API and the broader MindsDB architecture.
Installation Guide
Docker Desktop Extension for MindsDB
MindsDB provides an extension for Docker Desktop that facilitates running MindsDB on Docker Desktop.
Visit the GitHub repository for MindsDB Docker Desktop Extension to learn more.
Setup
This setup of MindsDB uses the mindsdb/mindsdb:latest Docker image, which is a lightweight Docker image of MindsDB that comes with these integrations preloaded.
Follow the steps to set up MindsDB in Docker Desktop.
Install the MindsDB Docker Desktop Extension
If you are a Windows user, ensure that you have enabled Developer Mode under settings before installing the extension.
It is not necessary to keep Developer Mode enabled to use the extension. Once the extension is installed, you can disable Developer Mode if you wish.
Go to the Extensions page in Docker Desktop and search for MindsDB.
Install the MindsDB extension.
The first time the extension is installed, it will run the latest version of MindsDB. Moving forward, it's advisable to regularly update the MindsDB image used by the extension to ensure access to the latest features and improvements.
As mentioned previously, the extension uses the mindsdb/mindsdb:latest Docker image. To update the image, follow these steps:
Access MindsDB inside Docker Desktop.
Install dependencies
In the MindsDB editor, go to Settings and Manage Integrations.
Select integrations you want to use and click on Install.
View logs
In order to view the logs generated by MindsDB when running the extension, follow these steps:
If you do not see the application listed here, navigate to the 'Extensions' tag in Settings and ensure that the 'Show Docker Extensions system containers' option is enabled.
---
Frequently Asked Questions
Is this your MCP?
Claim ownership and get verified badge
Sponsored
MindsDB has an MCP server built in, enabling MCP applications to connect, unify and respond to questions over large-scale federated data. For MCP specifics, see the MCP overview at docs.mindsdb.com/mcp/overview.
Before proceeding, ensure you have installed Docker Desktop, following the official Docker Desktop documentation.
Compare Alternatives
Similar MCP Tools
9 related toolsMarketsy.ai
Transform the way you sell digital products with a powerful, all-in-one platform designed for creators and entrepreneurs. With Marketsy.ai, you can effortlessly build a professional storefront to showcase and sell downloads, online courses, memberships, and more. The platform provides intuitive tools for product management, secure payment processing, and automated delivery, so you can focus on creating rather than handling logistics. From customizable storefronts to built-in marketing features, Marketsy.ai makes it easy to grow your audience, increase sales, and manage your digital business efficiently—all in one centralized space.
Float UI
Float UI is a free, open-source web platform that makes building modern, responsive websites easy for everyone. With ready-made templates and a library of versatile UI components, users can create professional websites quickly—no coding or design skills required. Its intuitive interface and simple customization workflow help bring ideas to life in minutes. Part of the marsx.dev family. Connect on Twitter: @johnrushx
Graphiti MCP Server
Graphiti MCP Server is an experimental implementation that exposes Graphiti's real-time, temporally-aware knowledge graph capabilities through the MCP (Model Context Protocol) interface. It enables AI agents and MCP clients to interact with Graphiti's knowledge graph for structured extraction, reasoning, and memory across conversations, documents, and enterprise data. The server supports multiple backends (FalkorDB by default and Neo4j), a variety of LLM providers (OpenAI, Anthropic, Gemini, Groq, Azure OpenAI), and multiple embedder options, all accessible via an HTTP MCP endpoint at /mcp/ for broad client compatibility. It also includes queue-based asynchronous episode processing, rich entity types for structured data, and flexible configuration through config.yaml, environment variables, or CLI arguments.
Context7 MCP Server
Context7 MCP Server delivers up-to-date, code-first documentation and examples for LLMs and AI code editors by pulling content directly from the source. It supports multiple MCP clients and exposes tools that help you resolve library IDs and retrieve library documentation, ensuring prompts use current APIs and usage patterns. The repository provides installation and integration guides for Cursor, Claude Code, Opencode, and other clients, along with practical configuration samples and OAuth options for remote HTTP connections. This MCP server is designed to keep prompts in sync with the latest library docs, reducing hallucinations and outdated code snippets.
TrendRadar MCP
TrendRadar MCP is an AI-driven Model Context Protocol (MCP) based analysis server that exposes a suite of specialized tools for cross-platform news analysis, trend tracking, and intelligent push notifications. It integrates with TrendRadar’s multi-platform data aggregation (RSS and trending topics) and provides advanced AI-powered insights, sentiment analysis, and cross-platform correlation. The MCP server enables developers to query, analyze, and compare news across platforms using a consistent toolset, with ongoing updates that expand capabilities such as RSS querying, date parsing, and multi-date trend analysis. This documentation references the MCP module updates, tool additions, and architecture changes that enhance extensibility, cross-platform data handling, and AI-assisted reporting.
ChainAware Behavioural Prediction MCP
The ChainAware Behavioural Prediction MCP is an MCP-based server that provides AI-powered tools to analyze wallet behaviour prediction, fraud detection, and rug pull prediction. Designed for Web3 security and DeFi analytics, it enables developers and platforms to integrate risk assessment, predictive wallet behavior insights, and rug-pull detection through MCP-compatible clients. The server exposes three specialized tools and uses Server-Sent Events (SSE) for real-time responses, helping safeguard DeFi users, monitor liquidity risks, and score wallet or contract trustworthiness. Access to production endpoints is API-key gated, reflecting a private backend architecture that supports secure, scalable risk analytics across wallets, contracts, and pools.
Playwright MCP
Playwright MCP server. A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables large language models (LLMs) to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. The server is designed to be fast, lightweight, and deterministic, offering LLM-friendly tooling and a rich set of browser automation capabilities via MCP tools. It supports standalone operation, containerized deployments, and integration with a variety of MCP clients (Claude Desktop, VS Code, Copilot, Cursor, Goose, Windsurf, and others).
Sequential Thinking MCP Server
Sequential Thinking MCP Server provides a dedicated MCP tool that guides problem-solving through a structured, step-by-step thinking process. It supports dynamic adjustment of the number of thoughts and allows revision and branching within a controlled workflow, making it ideal for complex analysis and solution hypothesis development. This server is designed to register a single tool, sequential_thinking, and is integrated with common MCP deployment methods (NPX, Docker) as well as editor integrations like Claude Desktop and VS Code for quick setup. The documentation provides exact configuration snippets, usage patterns, and building instructions to help you deploy and use the MCP server effectively, including Codex CLI, NPX, and Docker installation examples.
N8N MCP Server
An MCP (Model Context Protocol) server designed to integrate Claude Desktop, Claude Code, Windsurf, and Cursor with n8n workflows. This MCP enables users to build, test, and orchestrate complex workflows by exposing a set of tools that bridge Claude’s capabilities with n8n’s automation platform. The project emphasizes robust trigger handling, multi-tenant readiness, and progressive documentation to help developers understand how tools map to real-world workflow tasks. It also outlines future tooling integration points (such as getNodeEssentials and getNodeInfo) to further enhance node-structure awareness within MCP-powered automations.