How to Use the Gradient AI (LLM API & Finetuning) MCP in VS Code Copilot

Q: How do we share Gradient AI (LLM API & Finetuning) configurations across our team in VS Code Copilot?

Create a .vscode/mcp.json file in your repository root and commit it. Every developer on your team with VS Code 1.96+ will automatically load the MCP Server.

Q: Can VS Code Copilot use Gradient AI (LLM API & Finetuning) to transcribe team meetings?

Yes. Your agent can call createtranscription on audio files and retrieve the text using gettranscription directly in the chat panel.

Q: Does Gradient AI (LLM API & Finetuning) allow custom document personalization in VS Code Copilot?

Yes, it does. The agent uses personalizedocument to adapt internal documentation or code comments for specific developer audiences.

Share custom fine-tuning and RAG workflows across your entire engineering team in VS Code Copilot.

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Connect Gradient AI (LLM API & Finetuning) MCP to VS Code Copilot

Create your Vinkius account to connect Gradient AI (LLM API & Finetuning) to VS Code Copilot 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 VS Code Copilot

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Automate team-wide fine-tuning in VS Code Copilot

Commit your configuration to Git and let your entire team access your custom models. Your developers can use `list_models` to see shared foundational models and trigger new training runs using `fine_tune_model` directly from Copilot Chat. By managing configurations globally, you prevent developers from using mismatched models. Your agent uses `get_model` and `delete_model` to keep the team's shared model registry updated and clean.

This MCP Server allows your engineering team to parse PDFs

Analyze complex specifications directly inside your shared editor. The agent uses `extract_pdf` to pull text from local design docs and uses `extract_entity` to extract API schemas. To speed up reviews, your agent runs `summarize_document` and `analyze_sentiment` on technical docs. This gives your team immediate, structured insights without anyone needing to read hundreds of pages manually.

Query shared enterprise knowledge bases

Keep your developers aligned with central documentation via this MCP Server. Your agent accesses shared resources by calling `list_rag_collections` and extracts precise answers using `answer_question`. When a developer asks about internal APIs, the agent calls `generate_embeddings` to search the team's vector database. This returns accurate, context-aware code suggestions based on your private docs.

Setup guide

Set up Gradient AI (LLM API & Finetuning) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Gradient AI (LLM API & Finetuning) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Gradient AI (LLM API & Finetuning) tools listed. Try asking: "List my recent Gradient AI (LLM API & Finetuning) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gradient AI. 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 Gradient AI (LLM API & Finetuning) MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it. Every developer on your team with VS Code 1.96+ will automatically load the MCP Server.

Yes. Your agent can call `create_transcription` on audio files and retrieve the text using `get_transcription` directly in the chat panel.

Yes, it does. The agent uses `personalize_document` to adapt internal documentation or code comments for specific developer audiences.

The server uses a single endpoint token managed by Vinkius, allowing you to control API access centrally without exposing raw credentials to every developer.

Yes. The MCP Server processes all data payloads, including audio files and PDF documents, in transit via TLS 1.3 to Gradient's endpoints. The Vinkius sandbox destroys the session container immediately after execution, leaving zero footprint.

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