Together AI MCP by usefulapi

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Chat & email

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

https://together-ai.usefulapi.io/mcp

claude mcp add --transport http together-ai https://together-ai.usefulapi.io/mcp

{
  "mcpServers": {
    "together-ai": {
      "url": "https://together-ai.usefulapi.io/mcp"
    }
  }
}

{
  "servers": {
    "together-ai": {
      "type": "http",
      "url": "https://together-ai.usefulapi.io/mcp"
    }
  }
}

https://together-ai.usefulapi.io/mcp

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

• together_whoami

  Identify the API key: its organization, project and project slug. The project slug forms the ` / ` model name for dedicated-endpoint inference. A cheap way to confirm the key works. Together: GET /whoami.

• together_list_models

  List Together's models with type (chat, language, code, image, embedding, moderation, rerank), context length, organization, license and per-token pricing. Together: GET /models.

• together_list_files

  List uploaded data files (fine-tune, eval and batch-api inputs, plus job outputs) with size, type, purpose and validation status. Together: GET /files.

• together_get_file

  Fetch one file's metadata, including its processing_status and validation_report (why a fine-tune training file was rejected). Together: GET /files/{id}.

• together_list_fine_tunes

  List fine-tuning jobs with status, base model, output model name and training settings. Together: GET /fine-tunes.

• together_get_fine_tune

  Fetch one fine-tuning job: status, progress, hyperparameters, token counts, cost and the output model name. Together: GET /fine-tunes/{id}.

• together_list_fine_tune_events

  List the event log of one fine-tuning job (queued, started, checkpoint saved, epoch completed, errors). The first place to look when a job failed. Together: GET /fine-tunes/{id}/events.

• together_list_batches

  List batch inference jobs with status, progress, model and input/output/error file ids. Together: GET /batches.

• together_get_batch

  Fetch one batch job: status (VALIDATING, IN_PROGRESS, COMPLETED, FAILED, EXPIRED, CANCELLED), progress, and the output_file_id / error_file_id once done. Together: GET /batches/{id}.

• together_list_endpoints

  List endpoints with model, owner and state (PENDING, STARTING, STARTED, STOPPING, STOPPED, ERROR). Use mine=true and type=dedicated to see what is running on your account and billing by the minute. Together: GET /endpoints.

• together_get_endpoint

  Fetch one dedicated endpoint: state, model, hardware, autoscaling bounds and display name. Together: GET /endpoints/{endpointId}.

• together_list_hardware

  List hardware configurations for dedicated endpoints with GPU type/count/memory and price in cents per minute. Pass a model to get only compatible configurations with live availability. Together: GET /hardware.

• together_list_evaluations

  List LLM-as-a-judge evaluation jobs (classify, score, compare) with status, parameters and results once completed. Together: GET /evaluation.

• together_chat_completion

  Run a chat completion on a Together model (billed per token). Non-streaming. For a dedicated endpoint pass its ` / ` as the model. Together: POST /chat/completions.

• together_create_embeddings

  Generate vector embeddings for one or more texts (billed per token). Together: POST /embeddings.

• together_generate_image

  Generate images from a prompt (billed per image/megapixel). Returns image URLs by default rather than base64, to keep responses small. Together: POST /images/generations.

• together_create_fine_tune

  Start a fine-tuning job on an uploaded training file (billed per token processed). Stop it with together_cancel_fine_tune. Together: POST /fine-tunes.

• together_cancel_fine_tune

  Cancel a running fine-tuning job. Cannot be resumed, but a new job can continue from its last checkpoint via from_checkpoint. Together: POST /fine-tunes/{id}/cancel.

• together_create_batch

  Start an asynchronous batch job over an uploaded JSONL input file (purpose batch-api), at a discount to real-time inference. Together: POST /batches.

• together_cancel_batch

  Cancel a batch job that has not finished. Together: POST /batches/{id}/cancel.

• together_create_endpoint

  Deploy a model on dedicated GPUs. The endpoint STARTS AUTOMATICALLY and bills per minute of uptime until stopped — set inactive_timeout to auto-stop it, and use together_list_hardware for valid hardware ids. Together: POST /endpoints.

• together_start_endpoint

  Start a stopped dedicated endpoint. It bills per minute of uptime until stopped. Reversible with together_stop_endpoint. Together: PATCH /endpoints/{endpointId} with state=STARTED.

• together_stop_endpoint

  Stop a running dedicated endpoint, which stops its per-minute billing. Requests to it fail until it is started again. Together: PATCH /endpoints/{endpointId} with state=STOPPED.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified against the domain usefulapi.io (the registry checks domain ownership)

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 23 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 23 tool descriptions and found no hidden instructions to the AI

Compared with others in Chat & emaili

• More stars than 0% of the other 1766 servers in this category
• Published to the registry more recently than 95% of the other 1766 servers in this category
• Basic checks equal to or better than 100% of the other 1766 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

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