Together AI MCP Server
Generate code, evaluate embeddings, and deploy open-source LLMs instantly from your local agent via Together AI's infrastructure.
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Together AI MCP Server : voyez votre AI Agent en action
Capacités intégrées (7)
chat_completion
Provide a model ID and a JSON array of messages. Executes a chat completion using Together AI models
create_finetune_job
Provide a base model ID and a training file ID. Creates a new fine-tuning job
generate_embeddings
Provide a model ID and a JSON array of strings. Generates vector embeddings for input texts
generate_image
Provide a model ID and descriptive prompt. Generates an image from a text prompt
list_available_models
Lists all AI models available on Together AI
list_finetune_jobs
Lists all fine-tuning jobs
text_completion
Provide a model ID and a prompt. Executes a base text completion
Ce que ce connecteur débloque
Connect your Together AI account to any AI agent and integrate bleeding-edge open-source models seamlessly into your workflow. Harness world-class inference speeds to query Llama, Mixtral, and more, or orchestrate specialized model fine-tuning jobs straight from your chat environment.
What you can do
- Model Discovery — Explore and list all currently supported models on the Together network, identifying the best engine for any NLP or vision task
- Conversational AI — Run chat completion cycles on advanced models simply by supplying a model ID directly from the chat prompt
- Vector Storage Preparation — Generate instant rich embeddings for input texts, ready to populate your analytical databases
- Creative Media — Instruct external diffusion models to generate images using detailed physical descriptions
- Custom Fine-Tuning — Provision custom training runs by indicating a base framework and dataset file, alongside tracking existing job statuses
How it works
1. Sign up for this integration
2. Open your api.together.xyz control panel and fetch a developer API Key
3. Plug the key above, specify models to your agent, and enjoy sub-second serverless inference directly inside your command interface
Who is this for?
- AI Developers — Orchestrate fine-tuning parameters and launch jobs to the compute cluster without CLI switching
- Software Engineers — Use the provider to test completions using alternative open-source solutions (e.g., Llama 3) natively in code editors
- Machine Learning Engineers — Bulk-generate vectors from raw logs using embedding models attached straight to their main conversational agent
Questions fréquemment posées
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