MCP100 verdict
Not currently recommended. Direct MCP access to Minds functionality is useful, but the reviewed MCP-specific permission and isolation boundary is not yet strong enough.
MCP100 Assessment
Editorial verdict
Reviewed September 11, 2026
Task Fit
Mapped
Working with structured data
Trust
Status warning
Need current authoritative MCP-specific auth, permissions, tool-contract, and rollback documentation before promotion.
Maintenance
Date unavailable
No dated repository or package update is currently stored.
Popularity
Signals available
Visible usage signals are shown for discovery only, not as proof of safety.
Evidence scope
31 MCP repository stars
No MCP-specific package metric is stored
Stars observed September 11, 2026 · Downloads observation date unavailable
Publisher activity observed September 11, 2026
Current source snapshot
Source relationship: First-party MCP
Reviewed September 11, 2026
Evidence-backed setup
Choose your MCP client. A client connects to the MCP server; the language model is selected inside that client. Only stored, source-backed configurations are shown.
Transport not recorded
No sufficient client-specific setup evidence has been stored from the publisher or client documentation.
Publisher-documented setup is not the same as MCP100 execution testing. “MCP100 logic checked” means the stored configuration shape was reviewed, not that third-party MCP software was run.
Evidence checked 2026-09-11T00:00:00.000Z
Type-appropriate, source-backed setup for this mcp server profile.
Loading optional publisher installation details…
python -m venv env && pip install -r requirements.txtCapability
Direct MCP access to Minds functionality is useful, but the reviewed MCP-specific permission and isolation boundary is not yet strong enough.
Generate a completion using a specified Mind and API key.
Not measured yet
Estimated token footprint of the MCP tool schemas exposed to the agent.
Reviewed access
Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.
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MindsDB is listed as First-party MCP in MCP100’s current evidence.
Current official resources:
Original product, capability, tool, and usage documentation from the MCP publisher. Installation sections appear under Install & Agents.
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
The server can be configured using environment variables:
FASTMCP_DEBUG: Enable debug mode (default: false)FASTMCP_LOG_LEVEL: Set log level (default: INFO)FASTMCP_HOST: Host to bind to (default: 0.0.0.0)FASTMCP_PORT: Port to bind to (default: 8000)FASTMCP_SSE_PATH: Path for SSE events (default: /sse)FASTMCP_MESSAGE_PATH: Path for messages (default: /messages/)MINDS_BASE_URL: Base URL for the Minds API (default: https://mdb.ai)python -m server
The server exposes the following resource templates according to the MCP specification:
minds://{api_key} - List all available Mindsminds://{mind_name}/{api_key} - Get a specific Mind by nameThe server provides the following tool templates:
completion - Generate a completion using a specified Mind
mind_name: The ID of the Mind to usemessage: The message to completeapi_key: The Minds API key# Run all tests
python -m pytest
# Run only unit tests
python -m pytest tests/unit
For easier development, you can use the MCP development server:
mcp dev server.py
This will start the server and open the MCP Inspector in your browser for testing.
This server implements the Model Context Protocol (MCP), which provides:
MCP clients can:
From the publisher README
Original client setup and configuration retained from the publisher documentation.
Install the required dependencies (virtual environment recommended)
python -m venv env
source env/bin/activate
pip install -r requirements.txt
pip install -r requirements-dev.txt