AlibabaCloud OpenSearch MCP Server

What does “AlibabaCloud OpenSearch” MCP Server do?

The AlibabaCloud OpenSearch MCP Server equips AI agents and assistants with standardized tools to interact with Alibaba Cloud’s OpenSearch service. By acting as a bridge between AI clients and the OpenSearch platform, this MCP server enables seamless access and manipulation of search and vector data via a unified interface. Developers can leverage this server to perform advanced search queries, manage and analyze large datasets, and integrate AI-driven workflows with robust search capabilities. This connectivity streamlines AI application development, allowing for enhanced data retrieval, contextual understanding, and operational automation within enterprise environments.

List of Prompts

No prompt templates are mentioned in the available documentation or repository files.

List of Resources

No explicit MCP Resources are listed or described in the available files.

List of Tools

No concrete tool definitions or names are provided in the root repository files. The repository mentions “tools to interact with OpenSearch,” but does not enumerate them. For detailed tool lists, you may need to consult the aisearch-mcp-server or opensearch-vector-mcp-server subfolders.

Use Cases of this MCP Server

• Enterprise Document Search: Enables developers to integrate advanced search capabilities into business platforms, allowing users to efficiently find documents and files within large datasets.
• E-commerce Product Discovery: Powers intelligent product search and recommendation systems for online retail platforms, improving user experience and conversion rates.
• AI-driven Data Analytics: Assists in building AI solutions that require fast and flexible querying of structured and unstructured data for deeper insights.
• Contextual Information Retrieval: Supports AI assistants in fetching relevant information from vast repositories, enhancing response accuracy and relevance.
• Vector Search Applications: Facilitates similarity search and semantic search use cases, such as image, audio, or text matching, leveraging OpenSearch’s vector capabilities.

How to set it up

Windsurf

1. Ensure Node.js and npm are installed.
2. Open your Windsurf configuration file.
3. Add the AlibabaCloud OpenSearch MCP server using the following JSON snippet:

   {
     "mcpServers": {
       "alibabacloud-opensearch": {
         "command": "npx",
         "args": ["@alibabacloud-opensearch-mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the server is connected and operational.

Claude

1. Confirm prerequisites (Node.js, npm).
2. Locate Claude’s MCP server configuration area.
3. Insert the following JSON configuration:

   {
     "mcpServers": {
       "alibabacloud-opensearch": {
         "command": "npx",
         "args": ["@alibabacloud-opensearch-mcp-server@latest"]
       }
     }
   }
   

4. Save your changes and restart Claude.
5. Check connectivity to the AlibabaCloud OpenSearch MCP server.

Cursor

1. Install Node.js if not already present.
2. Edit the Cursor configuration file.
3. Add the MCP server configuration:

   {
     "mcpServers": {
       "alibabacloud-opensearch": {
         "command": "npx",
         "args": ["@alibabacloud-opensearch-mcp-server@latest"]
       }
     }
   }
   

4. Save the file and restart Cursor.
5. Confirm successful integration.

Cline

1. Ensure Node.js and npm are set up.
2. Access Cline’s configuration for MCP servers.
3. Paste in this configuration:

   {
     "mcpServers": {
       "alibabacloud-opensearch": {
         "command": "npx",
         "args": ["@alibabacloud-opensearch-mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Validate that the server is active.

Securing API Keys

Store sensitive information such as API keys in environment variables. Example:

{
  "mcpServers": {
    "alibabacloud-opensearch": {
      "command": "npx",
      "args": ["@alibabacloud-opensearch-mcp-server@latest"],
      "env": {
        "ALIYUN_OPENSEARCH_API_KEY": "${ALIYUN_OPENSEARCH_API_KEY}"
      },
      "inputs": {
        "region": "cn-hangzhou"
      }
    }
  }
}

How to use this MCP inside flows

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:

{
  "alibabacloud-opensearch": {
    "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 “alibabacloud-opensearch” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Between the available documentation and the lack of specific feature detail (tools, prompts, resources), this MCP server is functional but not deeply documented from a developer’s perspective in the public repo. Its score is moderate due to the absence of essential details that would support fast adoption and integration.

MCP Score