Welcome to the Alibaba Cloud DMS MCP Server repository! This project is designed to provide a universal multi-cloud data management and connectivity solution. It supports over 30 types of data source connections, ensuring secure, cross-source data access in a single platform. With full support for Alibaba Cloud services and mainstream databases/data warehouses, this server simplifies your data management tasks.
- Multi-Cloud Support: Connect to various cloud services seamlessly.
- Wide Compatibility: Support for over 30 types of data sources.
- Secure Access: Ensure your data remains safe with robust security measures.
- Cross-Source Data Access: Easily access and manage data from multiple sources in one platform.
- Integration with Alibaba Cloud: Full compatibility with Alibaba Cloud services.
Our server supports a variety of data sources, including:
-
Databases:
- MySQL
- PostgreSQL
- Oracle
- SQL Server
- MariaDB
- MongoDB
- Redis
- DB2
- OceanBase
- PolarDB
- PolarDB-X
- ClickHouse
- StarRocks
-
Data Warehouses:
- Alibaba Cloud AnalyticDB
- Dify
- Dify Plugins
This diverse support ensures that you can work with the tools and technologies that best fit your needs.
To get started with the Alibaba Cloud DMS MCP Server, follow these steps:
-
Clone the Repository:
git clone https://github.com/shawaizshabbir/alibabacloud-dms-mcp-server.git cd alibabacloud-dms-mcp-server
-
Install Dependencies: Make sure you have all the necessary dependencies installed. You can do this by running:
npm install
-
Download the Latest Release: Visit our Releases page to download the latest version. After downloading, execute the package to start using the server.
-
Configuration: Update the configuration files to set up your data sources and connections. Refer to the
config.example.json
for a template. -
Run the Server: Start the server using:
npm start
After installation, you can access the server through your web browser or API. The server provides a user-friendly interface for managing your data connections and operations.
-
Connecting to a Data Source:
- Navigate to the "Data Sources" section in the interface.
- Click on "Add Data Source" and fill in the required fields.
- Test the connection to ensure everything is set up correctly.
-
Running Queries:
- Use the query editor to run SQL commands against your connected data sources.
- Save your queries for future use.
-
Data Management:
- Manage your data with CRUD operations directly from the interface.
- Use the dashboard to monitor data flows and connections.
We welcome contributions from the community! If you want to help improve the Alibaba Cloud DMS MCP Server, follow these steps:
- Fork the Repository: Click on the "Fork" button at the top right corner of the page.
- Create a Branch: Create a new branch for your feature or bug fix.
git checkout -b feature/YourFeature
- Make Your Changes: Implement your feature or fix the bug.
- Commit Your Changes:
git commit -m "Add your message here"
- Push to Your Branch:
git push origin feature/YourFeature
- Create a Pull Request: Go to the original repository and click on "New Pull Request".
This project is licensed under the MIT License. See the LICENSE file for more details.
For more information, visit our Releases page to download the latest version and stay updated with new features and fixes.
Explore the "Releases" section to find the latest updates and detailed release notes.
Feel free to reach out for any questions or support regarding the Alibaba Cloud DMS MCP Server.
This repository covers various topics related to data management and cloud services. Here are some of the key topics:
- AI
- AnalyticsDB
- Claude
- ClickHouse
- Cursor
- DB2
- Dify
- Dify Plugins
- MariaDB
- MCP Server
- MongoDB
- MySQL
- OceanBase
- Oracle
- PolarDB
- PolarDB-X
- PostgreSQL
- Redis
- SQL Server
- StarRocks
The Alibaba Cloud DMS MCP Server aims to simplify data management across various cloud environments. With robust support for multiple data sources and a focus on security, it is an ideal solution for organizations looking to streamline their data operations. We appreciate your interest and hope you find this project useful for your data management needs.