How to Use the Lingyi Wanwu MCP in Claude Code

Q: How do I add Lingyi Wanwu to Claude Code?

Execute the command claude mcp add --transport http -- in your terminal. This registers the server and makes the tools available for all your headless scripts.

Q: Does Claude Code support Lingyi Wanwu for CI/CD?

It does. You can include chatcompletions in your shell scripts or GitHub Actions to automate tasks like code review or commit message generation.

Q: Can I check my Lingyi Wanwu usage from Claude Code?

Use the getusage tool to pull your account stats directly into your shell. This allows you to monitor token usage as part of your post-build reporting.

Connect Lingyi Wanwu to Claude Code for headless terminal workflows and automated CI/CD pipelines.

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Connect Lingyi Wanwu MCP to Claude Code

Create your Vinkius account to connect Lingyi Wanwu to Claude Code 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 Lingyi Wanwu with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Headless execution for Lingyi Wanwu

Run `chat_completions` directly from your shell to integrate Yi models into your build scripts. It's built for terminal users who need to pipe output into other CLI utilities. You can chain this with standard Linux commands to create automated workflows. It removes the need for a browser or GUI when performing batch translations or documentation generation.

Model management via terminal

Use `list_models` to see which endpoints are available before you kick off a deployment. It ensures your CI/CD pipeline is targeting the correct model version every time. This is essential for maintaining consistency across environments. You get immediate feedback in your terminal, making it easy to debug configuration issues during startup.

Embedded data processing

Use `get_embeddings` to generate vectors for your data processing tasks. It allows you to build custom search utilities that run entirely in the terminal without external dependencies. The output is raw and easy to pipe into other tools. It's designed for engineers who need to integrate high-performance vector generation into their existing automation scripts.

Setup guide

Set up Lingyi Wanwu MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see lingyi-wanwu-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Lingyi Wanwu transactions." It will automatically discover and invoke the available Lingyi Wanwu tools.

Terminal

claude mcp add --transport http lingyi-wanwu-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
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

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "lingyi-wanwu-mcp": {
      "type": "url",
      "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.

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Common questions about Lingyi Wanwu MCP in Claude Code

Execute the command `claude mcp add --transport http -- ` in your terminal. This registers the server and makes the tools available for all your headless scripts.

It does. You can include `chat_completions` in your shell scripts or GitHub Actions to automate tasks like code review or commit message generation.

Use the `get_usage` tool to pull your account stats directly into your shell. This allows you to monitor token usage as part of your post-build reporting.

The server operates via an ephemeral connection using an endpoint token. All data sent to the Lingyi Wanwu API is transient, and no persistent logs are kept on the server side.

The server returns a standard error code to your terminal. You can capture these in your script to trigger a fallback or alert your team via standard logging practices.

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