Minds MCP Server
OfficialProvides tools for interacting with Minds, allowing LLMs to list available Minds, retrieve specific Minds, and generate completions using Minds.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Minds MCP ServerGenerate a completion using the mind 'chat' with message 'Hello'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Minds MCP Server
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
Installation
Install the required dependencies (virtual environment recommended)
python -m venv env
source env/bin/activatepip install -r requirements.txt
pip install -r requirements-dev.txtRelated MCP server: gemini-mcp-server
Configuration
The server can be configured using environment variables:
FastMCP Settings
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 Settings
MINDS_BASE_URL: Base URL for the Minds API (default: https://mdb.ai)
Usage
Starting the Server
python -m serverResource Templates
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 name
Tool Templates
The server provides the following tool templates:
completion- Generate a completion using a specified MindParameters:
mind_name: The ID of the Mind to usemessage: The message to completeapi_key: The Minds API key
Development
Running Tests
# Run all tests
python -m pytest
# Run only unit tests
python -m pytest tests/unitDevelopment Mode
For easier development, you can use the MCP development server:
mcp dev server.pyThis will start the server and open the MCP Inspector in your browser for testing.
MCP Protocol
This server implements the Model Context Protocol (MCP), which provides:
Resource Templates: Parameterized URL patterns for retrieving data
Tool Templates: Function signatures for executing actions
Prompt Templates: Reusable interaction templates (not used in this server)
MCP clients can:
Discover available resource and tool templates
Instantiate templates with parameters
Access resources and call tools in a standardized way
This server cannot be deployed
Maintenance
Related MCP Connectors
Minds is a synthetic market research platform. This MCP server lets ChatGPT, Claude, and Cursor build Audiences from a brief, run durable Studies and Question Blocks, compare segments, and export results. OAuth 2.1 or Minds API key.
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
Access Pollinations models and API capabilities through agent tools.
Chat with your Zihin.ai agents, list them and load platform skills from any MCP client.
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