Ephemeral

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: 开发者工具
• 你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器（app.ephemer.al）

claude mcp add --transport http ephemeral https://app.ephemer.al/mcp --header 'Authorization: Bearer {api_key}'

{
  "mcpServers": {
    "ephemeral": {
      "url": "https://app.ephemer.al/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

{
  "servers": {
    "ephemeral": {
      "type": "http",
      "url": "https://app.ephemer.al/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月7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。

• create_run

  Start an AI agent run in an isolated sandbox and return the run (status queued) at once. Give a prompt, or the name of a saved workflow. Poll with get_run or block with wait_for_run for the result. Every run has a cost cap (max_cost_micros) and a timeout, and is billed to the org

• get_run

  Read a run: status, output, error, cost and billing_pending. COST: while billing_pending is true (or the run is still going), cost_micros is PROVISIONAL and usually higher than the final cost; the result then has cost_final:false and a cost_note. Quote a cost only when cost_final

• wait_for_run

  Wait until a run finishes (succeeded, failed, cancelled, interrupted or timed_out) or the wait ends, then return the run. After the run finishes it keeps waiting, within the same time, until billing has settled (billing_pending false, normally a few seconds to about 20), so the c

• list_runs

  List the organization's runs, newest first, with a cursor for the next page. Each run has cost_final: when false, cost_micros is provisional (usually above the final cost) and billing is still settling.

• cancel_run

  Cancel a run that has not finished. Work already done is billed. Cancelling a finished run changes nothing.

• list_workflows

  List the organization's saved workflows (reusable run definitions). Each entry has the workflow's name and, when set, its description, input_schema (the shape of the input create_run expects) and output_schema (the shape of the JSON it returns), so you can call a workflow without

• get_workflow

  Read a saved workflow's definition: description, prompt, model, files, connections, limits and its input_schema and output_schema. Credentials are never included.

• list_models

  Find models. Returns a compact list (id, name, context_length, input and output USD per million tokens, zero_data_retention where known), the total count and the default model. There are hundreds of models, so filter with query (case-insensitive part of the id or name, e.g. "clau

• list_connections

  The organization's saved connections that a run may use, with type, allowed methods and tools. No URLs or secrets are returned. Reference one in create_run by name.

• save_workflow

  Create a workflow, or replace the one with this name (saving the same definition again changes nothing more). A workflow is a reusable run definition: start it with create_run and its name, or on a timetable with create_schedule. Connections must already be saved in the organizat

• delete_workflow

  Permanently delete a saved workflow. Runs already started are not affected; schedules that use it stop being able to start runs until it is saved again.

• list_schedules

  List the organization's schedules: each starts a saved workflow on a cron timetable. Includes the next start, the last run and the last error.

• get_schedule

  Read a schedule: timetable, time zone, input, cost cap, whether it is enabled, its next start and the outcome of its last start.

• create_schedule

  Start a saved workflow on a timetable. Needs an administrator key. Each start is a run billed to the organization, with the cost cap given here (or the default). Use preview_schedule first to check the timetable. A schedule pauses itself after repeated failed starts. An organizat

• update_schedule

  Change a schedule; only the fields you give change. Needs an administrator key. Set enabled to false to pause it and to true to resume it (resuming clears the failures that paused it). A new timetable counts from now.

• delete_schedule

  Permanently delete a schedule. Needs an administrator key. Runs it already started are not affected. To stop it for a while, pause it with update_schedule instead.

• preview_schedule

  Check a cron expression and time zone and return the next five start times (UTC), without saving anything.

• run_schedule

  Start the schedule's workflow now, outside its timetable, with the schedule's input and cost cap. Returns the queued run (follow it with wait_for_run); each call starts another run and is billed like any run.

• list_files

  List the files saved in the organization: id, name, size, content type and creation time. Reference a file by id in a run's or workflow's files. Read-only; upload and delete files through the REST API.

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11日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（ephemer.al）与代码对应起来

• … 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 536 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 19 个工具描述，未发现针对 AI 的隐藏指令

用户评价

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与“开发者工具”中的其他服务器比较i

• 星标数多于此分类中其他 5759 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 5759 个服务器的 61% 更新
• 基础检查结果等于或优于此分类中其他 5759 个服务器的 28%

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：↓ 每周下载量i★ 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

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作者的 README

仓库中没有找到 README