Together AI MCP by usefulapi

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 聊天与邮件

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

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

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

• ✓ 通过

  作者与仓库一致

  注册名称已通过域名 usefulapi.io 验证（注册中心会核实域名所有权）

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 23 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 23 个工具描述，未发现针对 AI 的隐藏指令

与“聊天与邮件”中的其他服务器比较i

• 星标数多于此分类中其他 1770 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 1770 个服务器的 97% 更新
• 基础检查结果等于或优于此分类中其他 1770 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

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