Cursor: Provides a simple interface for database interactions.

Database: The core of data storage and retrieval.

DuckDB: An in-process SQL OLAP database management system.

Lakehouse Architecture: Combines the best of data lakes and data warehouses.

MCP: Multi-Channel Processing for handling diverse data inputs.

OLAP: Online Analytical Processing for fast query performance.

Parquet: A columnar storage file format optimized for use with big data processing frameworks.

Timeseries: Support for data that is indexed in time order.

Installation

To install the MCP service, follow these steps:

Clone the repository:

git clone https://github.com/QuoccHuyy12/gigapi-mcp.git
cd gigapi-mcp

Install dependencies:
```
pip install -r requirements.txt
```
Download the latest release from the Releases section. Look for the file you need, download it, and execute it.

Usage

Once you have installed the MCP service, you can start using it as follows:

Configure your data sources in the config.yaml file. Here is a sample configuration:

data_sources:
  - type: "api"
    url: "https://api.example.com/data"
  - type: "file"
    path: "/path/to/data/file.parquet"

You can monitor the service logs to ensure everything is running smoothly.

We welcome contributions! If you want to help, please follow these steps:

Please ensure your code adheres to the existing style and includes tests where applicable.

This project is licensed under the MIT License. See the LICENSE file for details.

For the latest releases, visit Releases section. You can download the required files from there and execute them to get started.

Feel free to explore the repository, and don’t hesitate to reach out if you have questions or need assistance!

1d:T18e8,

NPM Version NPM License

To install DuckDB Knowledge Graph Memory Server for Claude Desktop automatically via