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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Gradient AI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 19 capabilities

The complete Gradient AI capability set.

These are the exact actions your AI can choose when you ask it to work with Gradient AI.

Capability set01 / 05

01-04

4 capabilities in this set.

Part of 19 available through Gradient AI.

  1. 01

    Answer question

    Answer a question based on a source document

  2. 02

    Fine tune model

    Train a model on provided samples

  3. 03

    Get model

    Retrieve details about a specific model

  4. 04

    Get transcription

    Retrieve the result of a transcription job

Capability set02 / 05

05-08

4 capabilities in this set.

Part of 19 available through Gradient AI.

  1. 05

    List embeddings

    List available models for generating embeddings

  2. 06

    List models

    List available foundational and fine-tuned models

  3. 07

    List rag collections

    List all RAG collections in the workspace

  4. 08

    Summarize document

    Summarize a document

Capability set03 / 05

09-12

4 capabilities in this set.

Part of 19 available through Gradient AI.

  1. 09

    Analyze sentiment

    Analyze the sentiment of a document

  2. 10

    Complete model

    Generate a completion for a given prompt

  3. 11

    Generate embeddings

    Generate embeddings for the provided inputs

  4. 12

    Personalize document

    Personalize a document for a specific audience

Capability set04 / 05

13-16

4 capabilities in this set.

Part of 19 available through Gradient AI.

  1. 13

    Upload file

    Upload a file for use in other operations

  2. 14

    Extract PDF

    Extract text and data from a PDF file

  3. 15

    Create model

    Create a new fine-tuned model instance

  4. 16

    Create rag collection

    Create a collection for RAG operations

Capability set05 / 05

17-19

3 capabilities in this set.

Part of 19 available through Gradient AI.

  1. 17

    Create transcription

    Start an audio transcription job

  2. 18

    Delete model

    Delete a fine-tuned model

  3. 19

    Extract entity

    Extract structured data from a document based on a schema

Observed, not estimated

1106ms average. Fast in production.

Gradient AI is checked daily against the live service.

Daily averagePeak 1386ms
Aug 20Today
Fastest day
913ms
Slowest day
1386ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 19 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Gradient AI, so you can see the experience inside your AI.

It does not authenticate your account with Gradient AI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Gradient AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_KwJfHerXBfsWKXVQH8bGJG4HGUwUfVlRXkPpGPNU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Gradient AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gradient-ai-llm-api-finetuning-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KwJfHerXBfsWKXVQH8bGJG4HGUwUfVlRXkPpGPNU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Gradient AI owners ask.

  • 01

    How can I start training a custom model with my own data?

    You can use the fine_tune_model capability. Simply provide the model ID and an array of training samples. The agent will handle the submission to Gradient's training infrastructure.

  • 02

    Can I use RAG (Retrieval Augmented Generation) with this server?

    Yes! The complete_model capability includes an optional rag parameter, allowing you to provide context or collection IDs to ground the model's responses in specific data.

  • 03

    How do I generate vector embeddings for my documents?

    Use the generate_embeddings capability by specifying a model slug (like 'bge-large') and a list of text inputs. It will return the high-dimensional vectors for your text.

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