Gateway
CentralMind Gateway is a tool for quickly creating APIs or MCP services. It supports multiple database connections, automatically generates AI-optimized APIs, provides support for REST and MCP protocols, has PII protection, and offers multiple deployment options.
0 points
6.0K

What is the Central Mind MCP Server?

The Central Mind MCP Server is an easy-to-use tool that can automatically generate AI-optimized APIs for your database. It supports multiple database connection methods and provides a secure and efficient interface for AI models through the MCP protocol.

How to use the Central Mind MCP Server?

You can start the MCP server and begin using it in just a few steps. First, configure the database connection information, then run the server, and finally integrate the MCP interface into your AI model.

Applicable Scenarios

Suitable for AI projects that require quick access to databases, such as data analysis, business report generation, and intelligent customer service systems.

Main Features

Automatic API Generation
Automatically generate AI-optimized APIs based on the database table structure.
Multi-database Support
Support multiple mainstream databases such as PostgreSQL, MySQL, and ClickHouse.
MCP Protocol Support
Achieve seamless integration with AI models and provide real-time data streams.
PII Protection
Built-in sensitive data desensitization function to ensure data compliance.
Flexible Configuration
Easily adjust settings through the YAML configuration file.
Advantages
Quickly generate AI-optimized APIs
Support multiple databases and protocols
Built-in sensitive data processing capabilities
Easy to deploy and scale
Limitations
May have limited performance for large-scale data
Requires certain database management knowledge

How to Use

Install Dependencies
Ensure that the Go language environment is installed and clone the project repository.
Generate API Configuration
Use an AI model to generate the database API configuration.
Start the MCP Server
Run the MCP server and listen on the port.

Usage Examples

Example 1: Generate a Read-only API
Use the MCP server to generate a read-only API and integrate it into an AI model.
Example 2: Real-time Data Stream
Implement real-time data stream transmission through the MCP protocol.

Frequently Asked Questions

How to choose a suitable AI model?
How to solve the PII protection problem?
Does it support write operations?

Related Resources

Official Documentation
Detailed API generation and usage guide.
GitHub Repository
Source code and example projects.
Video Tutorial
Quick start guide.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "gateway": {
      "command": "PATH_TO_GATEWAY_BINARY",
      "args": ["start", "--config", "PATH_TO_GATEWAY_YAML_CONFIG", "mcp-stdio"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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