How to Use the Gradient AI (LLM API & Finetuning) MCP in Cline

Q: Can I use Gradient AI (LLM API & Finetuning) with Cline to generate embeddings?

Absolutely. Cline can call generateembeddings for any input you provide. It's a quick way to prepare data for vector search without writing extra glue code.

Q: Does Cline support Gradient AI (LLM API & Finetuning) fine-tuning operations?

It does. Cline can manage your training files and trigger finetunemodel when you need a custom model. It keeps track of the job and notifies you when the model is ready.

Q: How do I check my RAG collections?

Tell Cline to list your collections. It calls listragcollections and displays the current state of your indexed data so you know what's available.

Cline executes end-to-end tasks by connecting directly to Gradient AI (LLM API & Finetuning).

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Connect Gradient AI (LLM API & Finetuning) MCP to Cline

Create your Vinkius account to connect Gradient AI (LLM API & Finetuning) to Cline 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 Gradient AI (LLM API & Finetuning) with Cline

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Direct model interaction in Cline

Cline can generate completions for any prompt by calling `complete_model`. It gets the response directly from the API and incorporates it into your code files. You don't need to copy-paste. Cline handles the request and writes the output exactly where it belongs in your codebase.

Automated RAG workflows

Give Cline a set of documents and it will use `create_rag_collection` to build a searchable index. It then uses `answer_question` to pull specific details out of your docs. This is ideal when you need to write code based on internal documentation or complex specs. Cline fetches the answer and applies it to your task.

Handle audio transcriptions

Convert meeting recordings or voice memos to text by using `create_transcription`. Cline initiates the job and waits for the result. Once finished, it uses `get_transcription` to grab the text. You can then ask Cline to summarize the contents using `summarize_document`.

Setup guide

Set up Gradient AI (LLM API & Finetuning) 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 gradient-ai-llm-api-finetuning-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 Gradient AI (LLM API & Finetuning) 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": {
    "gradient-ai-llm-api-finetuning-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Gradient AI (LLM API & Finetuning) MCP in Cline

You can add the server URL in the Cline MCP settings tab. Once you save the settings, Cline will automatically detect the tools and make them available for your tasks.

Absolutely. Cline can call `generate_embeddings` for any input you provide. It's a quick way to prepare data for vector search without writing extra glue code.

It does. Cline can manage your training files and trigger `fine_tune_model` when you need a custom model. It keeps track of the job and notifies you when the model is ready.

The server treats your data as ephemeral. It only touches the files you explicitly send during a task, and it doesn't persist your documents outside of the collections you create.

Tell Cline to list your collections. It calls `list_rag_collections` and displays the current state of your indexed data so you know what's available.

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