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

Q: How do I configure Gradient AI (LLM API & Finetuning) in Claude Desktop?

Open your claudedesktopconfig.json file. Add the server under your mcpServers key with the execution command and arguments, then restart the app.

Q: Can I run Gradient AI (LLM API & Finetuning) fine-tuning runs through Claude Desktop?

Yes. Your agent executes finetunemodel using files you provide via uploadfile directly within your chat session.

Q: Can I manage my audio transcripts from the desktop?

Yes, you can. Use createtranscription to send audio files and gettranscription to fetch the completed text directly inside your chat.

Fine-tune custom LLMs and query RAG collections directly inside your Claude Desktop chat interface.

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Connect Gradient AI (LLM API & Finetuning) MCP to Claude Desktop

Create your Vinkius account to connect Gradient AI (LLM API & Finetuning) to Claude Desktop 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 Claude Desktop

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Train custom models right from Claude Desktop

Stop jumping to external notebooks to train your models. With this MCP Server, Claude Desktop can start training runs directly. You upload your training dataset using `upload_file` and trigger the training process with `fine_tune_model` without leaving the chat window. Your agent handles the tedious parts of the lifecycle. It checks model status using `get_model` and lists your available fine-tuned variants using `list_models` so you can instantly verify if your custom weights are ready for production.

Extract structured data from local PDFs

Claude Desktop accesses your local filesystem to pull raw documents. Your agent takes those files, runs `extract_pdf` to pull the raw text, and uses `extract_entity` to turn messy pages into structured JSON schemas. You do not need to write custom parsing scripts or build complex regular expressions. The agent uses `summarize_document` and `analyze_sentiment` to instantly evaluate the extracted content and present clean summaries right inside your chat UI.

Run RAG pipelines on your desktop

Connect your local knowledge bases to live retrieval systems using this MCP Server. This setup lets Claude Desktop build dynamic search contexts by calling `create_rag_collection` and managing your document stores through `list_rag_collections` in real-time. When you ask a question, your agent converts your query with `generate_embeddings` to find the exact source material. It then runs `answer_question` to give you accurate answers backed by your own enterprise data.

Setup guide

Set up Gradient AI (LLM API & Finetuning) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Gradient AI (LLM API & Finetuning) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Gradient AI (LLM API & Finetuning) MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under gradient-ai-llm-api-finetuning-mcp.

json

{
  "mcpServers": {
    "gradient-ai-llm-api-finetuning-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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

Open your `claude_desktop_config.json` file. Add the server under your `mcpServers` key with the execution command and arguments, then restart the app.

Yes. Your agent executes `fine_tune_model` using files you provide via `upload_file` directly within your chat session.

No. The MCP Server acts as a bridge, running all heavy compute like model fine-tuning and embedding generation on Gradient's remote servers.

Yes, you can. Use `create_transcription` to send audio files and `get_transcription` to fetch the completed text directly inside your chat.

The MCP Server transmits your training datasets and PDF text directly to Gradient's secure environment via encrypted HTTPS. Vinkius runs the server in an isolated, ephemeral sandbox that never caches or retains your private data after the request completes.

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