Connect Together AI MCP for AI Agents
Deploying open-source LLMs for Retrieval Augmented Generation (RAG) and Text Analysis
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What AI agents can do with Together AI: 7 Tools for Open-Source Model Inference
Use these functions to access everything Together AI offers, including running chat completions, generating embeddings, and managing custom model training jobs.
List finetune jobs
Lists all currently existing fine-tuning jobs to check their status or history.
Create finetune job
Creates a brand new fine-tuning job using a specified base model ID and a training dataset file ID.
Generate embeddings
Generates vector embeddings for input texts by providing a model ID and a JSON array of strings.
Generate image
Generates an image from a text prompt, requiring the model ID and descriptive instructions.
List available models
Retrieves and lists every AI model ID available on the Together AI network for selection.
Chat completion
Executes a chat completion using Together AI models, requiring a model ID and a JSON array of messages.
Text completion
Executes a basic text completion by providing a model ID and a single prompt string.
Frequently Asked Questions
How does the Together AI MCP help me run open-source LLMs like Llama or Mixtral? +
The Together AI MCP gives your agent direct, single-point access to dozens of top-tier open-source models. Instead of setting up separate API connections for each model, you simply invoke a chat completion tool and specify the required model ID in the prompt.
Do I need to write code every time I want to generate embeddings with Together AI MCP? +
No. You use the generate_embeddings function directly through your agent's conversation flow. Just provide the text array, and the MCP handles running the vector generation job for you.
What if I want to customize a model using Together AI MCP? +
You can manage custom training runs right from the chat interface. Use the create_finetune_job tool, providing your base model ID and dataset file, and then track progress with list_finetune_jobs.
Can Together AI MCP help me generate images for my project? +
Yes. The MCP includes a dedicated image generation tool. You just need to provide a detailed descriptive prompt, and your agent sends the request to the external diffusion model and gets the resulting image back.
Is Together AI MCP better than using traditional cloud API services? +
The primary benefit is consolidation. Instead of juggling multiple service providers for different tasks (chat, embeddings, images), this MCP brings them all under one connection point in your agent.
Does Together AI MCP support any type of open-source model? +
It supports a wide array of models across the entire open-source spectrum. You can use list_available_models to check out exactly which ones are supported and available for inference.
Where do I obtain my Together AI API Key? +
Log in to the developer portal via api.together.xyz/settings/api-keys. If you do not have an existing key, click Create API Key. This token enables the execution of remote inferences spanning their hosted clusters securely.
Do I have to pay to use Together models through the agent? +
Yes. This connector simply routes your instructions to Together AI. Any tokens consumed during chat completion, embeddings, images generation, or fine-tuning workloads are billed directly to your registered Together AI account balance according to their official compute pricing models.
Can I access free models on Together AI? +
Yes! Together AI frequently offers free tiers for certain open-source models intended for experimentation and research. You can query these directly from your agent without depleting your account balance, though specific free-tier rate limits will apply.
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