XiYan MCP Server

What does “XiYan” MCP Server do?

The XiYan MCP Server is a Model Context Protocol (MCP) server designed to enable natural language queries to databases. By leveraging advanced text-to-SQL capabilities powered by XiYan-SQL, it allows AI assistants and developers to interact with databases using plain language, streamlining tasks like querying, updating, or extracting data without writing SQL directly. This enhances development workflows by bridging the gap between AI language models and structured data sources, making it easier to integrate database operations into applications, automate data analysis, and build intelligent data-driven workflows. The server is tightly connected to the XiYan-SQL project, which is state-of-the-art in text-to-SQL on open benchmarks, ensuring robust and accurate language-to-database mappings.

List of Prompts

No prompt templates are explicitly mentioned in the repository or documentation.

List of Resources

No explicit list of exposed resources is provided in the available documentation or repository files.

List of Tools

No detailed tool descriptions or list from server.py or equivalent files are available in the provided materials.

Use Cases of this MCP Server

• Natural Language Database Querying
  Developers and AI assistants can query databases using natural language, removing the need to write SQL manually.
• Data Analysis Automation
  Enables automated reporting and analysis by letting AI agents fetch and aggregate data from databases on demand.
• Intelligent Application Integration
  Applications can incorporate intelligent querying capabilities for end-users, such as chatbots or digital assistants with database access.
• Rapid Prototyping for Data-Driven Apps
  Speeds up development for data-centric applications by allowing developers to interact with data stores via language prompts.
• Educational Tools
  Useful for teaching SQL or database concepts by translating natural language requests into SQL queries for learning platforms.

How to set it up

Windsurf

1. Ensure you have prerequisites like Node.js installed.
2. Open your Windsurf configuration file (e.g., windsurf.config.json).
3. Add the XiYan MCP Server to the mcpServers section with the following JSON snippet:

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

4. Save the configuration and restart Windsurf.
5. Verify the setup by checking for the available MCP tools in the Windsurf interface.

Claude

1. Ensure prerequisites such as Node.js are installed.
2. Locate and open the Claude configuration file.
3. Insert the XiYan MCP Server entry in the mcpServers section:

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

4. Save and restart Claude.
5. Confirm the MCP server is accessible in the Claude environment.

Cursor

1. Make sure Node.js or other required dependencies are installed.
2. Open cursor.config.json or the relevant Cursor configuration file.
3. Add the MCP server configuration:

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

4. Save the file and restart Cursor.
5. Check that the MCP server is running by listing available tools/resources.

Cline

1. Install Node.js and any other necessary dependencies.
2. Edit your cline.config.json or equivalent configuration file.
3. Add the MCP server under mcpServers:

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

4. Save your configuration and restart Cline.
5. Verify the configuration by ensuring the server responds to MCP protocol calls.

Securing API Keys with Environment Variables

Add environment variables and inputs in your configuration:

"mcpServers": {
  "xiyan-mcp-server": {
    "command": "npx",
    "args": ["@xiyan/mcp-server@latest"],
    "env": {
      "XIYAN_API_KEY": "${XIYAN_API_KEY}"
    },
    "inputs": {
      "database_url": "your-database-url"
    }
  }
}

Replace your-database-url and set the XIYAN_API_KEY in your environment for security.

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:

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

Overview

Roots support: ⛔ Not specified

Based on the above, XiYan MCP Server is a promising project with a clear focus but limited public documentation on prompts, resources, and tools. Its licensing is solid, and it has moderate community traction.

Our opinion

We rate this MCP at 5/10: strong foundational idea and open-source license, but a lack of detailed documentation on MCP resources, prompts, and tools reduces its immediate usability and transparency.

MCP Score