MindsDB MCP Server

MindsDB MCP Server

MindsDB MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models (LLMs) to interact with the MindsDB platform and its SDK through a unified, standardized interface. It acts as a bridge between LLMs and the powerful AI capabilities of MindsDB, exposing data resources and executable tools in a discoverable and secure way for seamless integration and automation.

Author: mindsdb


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What is MindsDB MCP Server?

MindsDB MCP Server is a lightweight MCP-compliant server designed to let LLMs access, query, and interact with MindsDB "Minds" (database models or AI agents) programmatically. Through MCP, it standardizes how LLMs discover available Minds, retrieve information, and trigger actions, extending the functionality of LLM-powered apps and workflows beyond pure text operations.

How to Configure

To set up MindsDB MCP Server:

  1. Install dependencies in a Python virtual environment using pip install -r requirements.txt and pip install -r requirements-dev.txt.
  2. Set relevant environment variables to configure server behavior and MindsDB connection:
    • FASTMCP_DEBUG to enable debug mode (default: false).
    • FASTMCP_LOG_LEVEL to control log verbosity (default: INFO).
    • FASTMCP_HOST and FASTMCP_PORT for network binding (default: 0.0.0.0:8000).
    • MINDS_BASE_URL to point to a custom Minds API endpoint if needed (default: https://mdb.ai).
  3. Optionally, adjust endpoints for messages and SSE events as needed. These settings ensure the server runs securely and can communicate with the Minds API and SDK as intended.

How to Use

  1. Start the server with python -m server (or use the MCP dev server with mcp dev server.py for development and testing).
  2. Use an MCP-compatible host or client to:
    • Discover available resource templates such as listing all Minds or retrieving a specific Mind by name.
    • Discover available tools and their parameters.
    • Call resources (GET data) or invoke tools (perform operations like text completion).
  3. For automated workflows, incorporate MindsDB MCP Server into agent backends or connect via IDEs or AI tools that support MCP.
  4. Use the MCP Inspector (opened in dev mode) to test endpoints, monitor interactions, and debug issues interactively.

Key Features

  • Standardized Access: Provides unified, secure, and discoverable interfaces for LLMs to interact with MindsDB.
  • Resource Templates: Query MindsDB models, listing available Minds or fetching individual Mind details through parameterized URIs.
  • Tool Templates: Execute actions like generating text completions using Minds, with clear parameter definitions for automation.
  • Easy Integration: Plug-and-play with other MCP hosts, agents, and developer tools for rapid prototyping and production use.
  • Development Mode: Includes hot reloading and built-in Inspector UI for fast iteration and testing.
  • Configurable and Secure: Environment variable-based configuration to fit different deployment needs and ensure security best practices.

Use Cases

  • AI Agent Backend: Power LLM agents that leverage MindsDB’s predictive models through MCP without building custom integrations.
  • Data Augmentation: Supplement LLM text responses by querying MindsDB's models for richer, data-driven outputs.
  • Workflow Automation: Build automation scripts or apps where LLMs can trigger Minds completions or fetch model states as part of a process.
  • Integration Testing: Use the server in developer environments to test MindsDB-powered AI flows with standard MCP tooling.

FAQ

Q: What is required to connect to the MindsDB MCP Server?
A: You need an MCP-compatible client (agent, IDE, or AI tool) and appropriate MindsDB API credentials.

Q: Can I use custom MindsDB API endpoints?
A: Yes, just set the MINDS_BASE_URL environment variable to your desired endpoint.

Q: How do I authenticate operations involving Minds?
A: Each resource or tool call that interacts with MindsDB requires an api_key parameter for authentication.

Q: Is this server production-ready or for development only?
A: It is suitable for both, as long as security best practices and appropriate configurations are followed.

Q: What should I do if a tool or resource template is missing?
A: You can extend the server by implementing additional resource or tool templates as per the MCP specification and MindsDB needs.