
AlibabaCloud DataWorks MCP Server
The AlibabaCloud DataWorks MCP Server enables AI assistants to manage and automate Alibaba Cloud DataWorks resources through a standardized Model Context Protoc...
Streamline and automate Alibaba Cloud RDS management with secure, AI-driven workflows using the OpenAPI MCP Server for FlowHunt.
The Alibaba Cloud RDS OpenAPI MCP Server is a Model Context Protocol (MCP) server designed to facilitate interaction between AI assistants and Alibaba Cloud RDS (Relational Database Service) via the official OpenAPI. By acting as a bridge between AI clients and cloud-based database resources, this server enables streamlined database operations, such as querying and managing RDS instances, through standardized MCP interfaces. Developers and AI agents can leverage the server to automate workflows, manage cloud databases, and integrate database operations into broader AI-driven pipelines, enhancing productivity and reducing manual overhead. The server also supports secure credential management and can be easily integrated into development tools that support MCP standards.
No specific instructions for Windsurf are provided in the repository.
No specific instructions for Claude are provided in the repository.
No specific instructions for Cursor are provided in the repository.
export SERVER_TRANSPORT=sse;
export ALIBABA_CLOUD_ACCESS_KEY_ID=$your_access_id;
export ALIBABA_CLOUD_ACCESS_KEY_SECRET=$your_access_key;
export ALIBABA_CLOUD_SECURITY_TOKEN=$your_sts_security_token; # optional
uvx alibabacloud-rds-openapi-mcp-server@latest
remote_server = "http://127.0.0.1:8000/sse";
{
"mcpServers": {
"rds-openapi": {
"name": "rds-openapi",
"type": "stdio",
"description": "",
"isActive": true,
"registryUrl": "",
"command": "uvx",
"args": [
"alibabacloud-rds-openapi-mcp-server@latest"
],
"env": {
"ALIBABA_CLOUD_ACCESS_KEY_ID": "$your_access_id",
"ALIBABA_CLOUD_ACCESS_KEY_SECRET": "$your_access_key"
}
}
}
}
Store sensitive credentials in environment variables rather than directly in configuration files. For example, in your JSON config:
"env": {
"ALIBABA_CLOUD_ACCESS_KEY_ID": "$your_access_id",
"ALIBABA_CLOUD_ACCESS_KEY_SECRET": "$your_access_key"
}
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"rds-openapi": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “rds-openapi” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ✅ | Only reference to prompt templates |
List of Resources | ⛔ | Not listed |
List of Tools | ⛔ | Not listed |
Securing API Keys | ✅ | Provided via env example |
Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
The Alibaba Cloud RDS OpenAPI MCP Server offers clear setup instructions for Cherry Studio and Cline, and demonstrates good practices in credential management. However, it lacks detailed documentation on available prompts, resources, and tools, which limits its accessibility for broader developer audiences and advanced use. The project is maintained with a standard open-source license, has a moderate user base, and integrates well with some established tools, but would benefit from more comprehensive documentation and explicit resource/tool listing.
Has a LICENSE | Yes (Apache-2.0) |
---|---|
Has at least one tool | Not listed |
Number of Forks | 9 |
Number of Stars | 27 |
It is a Model Context Protocol (MCP) server that connects AI assistants and development tools to Alibaba Cloud’s Relational Database Service (RDS) via the official OpenAPI. It enables streamlined, automated database operations and integrates securely into cloud workflows.
Automated database management, integrated workflow automation, secure credential handling via environment variables, multi-platform development support, and centralized cloud database monitoring.
Always use environment variables to set your ALIBABA_CLOUD_ACCESS_KEY_ID and ALIBABA_CLOUD_ACCESS_KEY_SECRET. Avoid storing credentials directly in code or configuration files for better security.
Yes. Add the MCP component in your FlowHunt workflow, and configure it with the server’s connection details. This enables your AI agent to access and manage RDS resources through the MCP interface.
The repository references prompt templates but does not provide detailed lists of prompts, resources, or tools. For advanced usage and template details, refer to Cherry Studio’s documentation.
Empower your AI agents with secure Alibaba Cloud RDS automation. Connect the RDS OpenAPI MCP Server to FlowHunt for seamless database management.
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