Connect-MCP

Together AI MCP by usefulapi

io.usefulapi/together-ai · v1.11.1

Run Together AI chat, embeddings and images; manage fine-tunes, batches and endpoints.

MCPremoteno credentialsAI & LLMFiles & storage

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 23 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 86/100

What it does: 23 tools · 13 read, 10 write (incl. delete/pay) · AI & LLM, Files & storage

Test call together_whoami: needs a key: HTTP 401 (998 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +8
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

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

Tools

23 tools listed at last check
  • together_whoami Identify the API key: its organization, project and project slug. The project slug forms the `<project_slug>/<endpoint_slug>` 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 `<project_slug>/<endpoint_slug>` 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.

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