How to Use the Juhe Data / 聚合数据 MCP in Windsurf

Let Cascade chain Juhe Data / 聚合数据 tools automatically to handle complex data tasks directly inside Windsurf.

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Connect Juhe Data / 聚合数据 MCP to Windsurf

Create your Vinkius account to connect Juhe Data / 聚合数据 to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Juhe Data / 聚合数据 with Windsurf

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Perplexity

Autonomous data orchestration

Cascade reads your requirements and chains multiple tools to get results without manual intervention. You define the goal, and it executes the sequence, pulling data from `get_weather` or `get_exchange_rate` to complete your task. This saves you from constant back-and-forth prompting. Cascade manages the tool flow, ensuring that information gathered from `get_ip_lookup` or `get_latest_news` is ready for your next coding step.

Instant context awareness

When you connect this MCP Server, Windsurf immediately indexes the available tools. You can ask for local oil prices or ID info, and the agent knows exactly which tool to invoke. It treats these API endpoints as native extensions of your environment. Whether you need `get_oil_price` or `get_calendar_day`, the data lands right where you are working.

Multi-step logic execution

Chain complex operations like verifying an ID and checking local weather simultaneously. Cascade parses the outputs and applies them to your codebase without you needing to manage the state. This approach removes the lag between needing data and seeing it in your editor. You get the output of `get_id_card_info` and `get_weather` inside the conversation pane instantly.

Setup guide

Set up Juhe Data / 聚合数据 MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Juhe Data / 聚合数据 MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Juhe Data / 聚合数据 payment history." If connected, Cascade will call the Juhe Data / 聚合数据 tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "juhe-data-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Juhe Data / 聚合数据. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Juhe Data / 聚合数据 MCP in Windsurf

Open your MCP settings in the Cascade panel and paste the server details. Once added, click the refresh button to let the agent discover the tools.

Yes, you can script tests that rely on live data. Cascade will trigger the tools during your build process to verify your logic against real-world inputs.

No, the agent handles the trigger. You simply describe the outcome, and it decides if it needs to call an endpoint like `get_exchange_rate`.

Keys reside in your local configuration file. They are never transmitted outside of your secure connection to the server.

Sensitive information like ID card details is handled via encrypted transport. The server only processes the specific query you authorize.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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