MCP For Claude Marketplace
Gradient AI (LLM API & Finetuning)

Gradient AI (LLM API & Finetuning) MCP Connector for Claude

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Access powerful LLMs, fine-tune models on your own data, and generate embeddings directly through your AI agent.

19 tools Official Updated Jun 28, 2026 Official Vinkius Partner
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Connect to Gradient AI to leverage enterprise-grade LLM infrastructure. This server allows you to manage fine-tuned models, generate high-quality completions, and process text with specialized tools like sentiment analysis and entity extraction.

What you can do

  • Model Management — List foundational models and manage your custom fine-tuned instances.
  • Fine-Tuning — Train models on your specific datasets to improve performance on niche tasks.
  • Advanced Completions — Generate text with support for RAG (Retrieval Augmented Generation) and guidance parameters.
  • Embeddings — Convert text into high-dimensional vectors for search and similarity tasks.
  • NLP Tools — Perform sentiment analysis, answer questions from documents, and extract entities automatically.

How it works

  1. Subscribe to this server
  2. Enter your Gradient API Key and Workspace ID
  3. Start building and deploying custom AI solutions from your MCP client

Who is this for?

  • AI Engineers — quickly iterate on fine-tuning experiments and test model completions.
  • Data Scientists — generate embeddings and perform NLP analysis without complex local setups.
  • Developers — integrate advanced LLM capabilities into applications with minimal friction.
llmfine-tuningembeddingsnlpai-infrastructure

19 tools expose this connector's capabilities to your AI agent.

analyze_sentiment

Analyze the sentiment of a document

answer_question

Answer a question based on a source document

complete_model

Generate a completion for a given prompt

generate_embeddings

Generate embeddings for the provided inputs

upload_file

Upload a file for use in other operations

create_model

Create a new fine-tuned model instance

create_rag_collection

Create a collection for RAG operations

create_transcription

Start an audio transcription job

delete_model

Delete a fine-tuned model

extract_entity

Extract structured data from a document based on a schema

extract_pdf

Extract text and data from a PDF file

fine_tune_model

Train a model on provided samples

get_model

Retrieve details about a specific model

get_transcription

Retrieve the result of a transcription job

list_embeddings

List available models for generating embeddings

list_models

List available foundational and fine-tuned models

list_rag_collections

List all RAG collections in the workspace

personalize_document

Personalize a document for a specific audience

summarize_document

Summarize a document

See how to talk to your AI agent using Gradient AI (LLM API & Finetuning).

List all the models available in my Gradient workspace.

I've retrieved the models from your workspace. You have access to foundational models like 'llama3-8b' and your custom fine-tuned models such as 'customer-support-v1'.

Analyze the sentiment of this text: 'The new API performance is incredible!'

The sentiment analysis for that text is 'Positive' with a high confidence score. The language used indicates strong satisfaction.

Generate a completion for 'Explain quantum computing' using model id 'base-llama3'.

Using the 'base-llama3' model: 'Quantum computing is a type of computing that uses quantum-mechanical phenomena, such as superposition and entanglement...' [Full response follows]

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

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