How to Use the Lingyi Wanwu MCP in Windsurf

Q: Does the Lingyi Wanwu MCP Server track costs in Windsurf?

It does. You can invoke getusage at any point during your Windsurf session to pull current statistics. This keeps your consumption visible without needing to check an external dashboard.

Connect Lingyi Wanwu to Windsurf to chain multi-step AI actions and automate your coding workflow without leaving the editor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lingyi Wanwu MCP to Windsurf

Create your Vinkius account to connect Lingyi Wanwu 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.

GDPR Free for Subscribers

Setup Lingyi Wanwu with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous model orchestration in Windsurf

Cascade reads your local context and triggers `chat_completions` or `list_models` to handle complex logic. You set the goal, and the MCP Server executes the sequence without you needing to pause for every single step. This setup removes the manual back-and-forth typical of standard chat interfaces. Windsurf handles the tool discovery, allowing the agent to switch between model endpoints based on the task requirements.

Performance and moderation tracking

Use `get_usage` to keep a close eye on your token consumption directly within the IDE. It prevents you from hitting limits unexpectedly while you are in the middle of a deep refactoring session. You can also pipe inputs through `check_moderation` to ensure your agentic workflows stay within your safety parameters. It catches policy violations before they ever reach your final output.

Vector search and embedding generation

Generate high-quality text representations using `get_embeddings` for your local data indexing. This lets your agent perform semantic searches across your codebase with precision. It works by converting your files into vectors that the model can interpret. Once indexed, the agent finds relevant code blocks faster than standard string matching would ever allow.

Setup guide

Set up Lingyi Wanwu 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 Lingyi Wanwu 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 Lingyi Wanwu payment history." If connected, Cascade will call the Lingyi Wanwu tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "lingyi-wanwu-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 Lingyi Wanwu. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Lingyi Wanwu now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lingyi Wanwu MCP in Windsurf

Open your Windsurf MCP settings panel or edit the JSON config file directly. Add the server details under the mcpServers key, save, and hit refresh. Cascade will automatically pull in the available tools.

Yes, it can. Because Windsurf uses an autonomous agentic flow, it chains `list_models` and `chat_completions` together automatically. You define the objective and let the agent handle the specific sequence of operations.

It does. You can invoke `get_usage` at any point during your Windsurf session to pull current statistics. This keeps your consumption visible without needing to check an external dashboard.

Your data stays local to your machine. The MCP Server acts as a bridge, sending only the necessary payloads to the model endpoints. Security is handled via your specific API token, ensuring no unauthorized access to your source code.

Windsurf catches the response and displays it in the agent console. You can then adjust your prompt or check the `check_moderation` output to identify why the request was rejected.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript