How to Use the NVIDIA AI MCP in Cline

Q: Can Cline list all available NVIDIA AI models?

Yes, Cline can invoke listmodels to check the active catalog. This lets the agent select the most efficient model for your specific coding task.

Q: Does the NVIDIA AI integration support vector search in Cline?

Yes, Cline uses getembeddings to generate vectors for your files. This allows the agent to perform highly accurate semantic searches across your local workspace.

Q: Where does my database schema data go when Cline runs NVIDIA AI?

Schema metadata sent to texttosql is transmitted securely over TLS to the NVIDIA API Catalog. It is processed in an ephemeral memory state and is never stored or used for model training.

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Connect NVIDIA AI MCP to Cline

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Setup NVIDIA AI with Cline

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Build end-to-end features with Cline and NVIDIA AI

Cline uses `generate_code` to write entire application modules based on your high-level instructions. Instead of just suggesting snippets, the agent creates the files, imports the required dependencies, and runs the initial syntax checks. If the code requires database access, Cline triggers `text_to_sql` to draft schema-compliant queries. It integrates these queries into your repository files, creating a fully functioning backend layer without manual copy-pasting.

Semantic analysis and translation inside your workspace

This MCP Server lets Cline read your localization files and run `translate_text` to populate missing keys. The agent can traverse your entire directory structure, identify untranslated strings, and write the corrected files back to disk. For content-heavy applications, Cline can call `analyze_sentiment` to evaluate user-generated text stored in your workspace. This allows the agent to build automated moderation scripts that run locally inside your editor.

Query deep reasoning models for complex refactoring

When you face legacy codebase issues, Cline uses `ask_question` to run deep reasoning with NVIDIA's 405B parameter model. The agent feeds the problematic code context into the model and waits for a structured refactoring plan. Once the plan is ready, Cline executes it by calling `chat_completion` with smaller, faster models for the repetitive file edits. This hybrid approach saves you API credits while keeping the quality of the output incredibly high.

Setup guide

Set up NVIDIA AI MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type nvidia-ai-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest NVIDIA AI refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about NVIDIA AI MCP in Cline

Cline connects to the server via your Vinkius endpoint. Once connected, Cline auto-discovers all nine tools, allowing it to call `generate_code` or `text_to_sql` as needed.

Yes, Cline can invoke `list_models` to check the active catalog. This lets the agent select the most efficient model for your specific coding task.

Yes, Cline uses `get_embeddings` to generate vectors for your files. This allows the agent to perform highly accurate semantic searches across your local workspace.

Open the Cline sidebar, click the MCP icon, and add the server using the Vinkius URL. Cline will automatically configure the settings and load the tools.

Schema metadata sent to `text_to_sql` is transmitted securely over TLS to the NVIDIA API Catalog. It is processed in an ephemeral memory state and is never stored or used for model training.

Use it with your favorite AI tools

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

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