All servers · Payments & accounting

Ephemeral

al.ephemer/ephemeral · v1.0.0

Measured by MCP Station

Description written by the publisher, not verified

Run AI agent tasks in isolated sandboxes with a cost cap, saved workflows and scoped connections.

Connect

claude mcp add --transport http ephemeral https://app.ephemer.al/mcp

{
  "mcpServers": {
    "ephemeral": {
      "url": "https://app.ephemer.al/mcp"
    }
  }
}

Tools as reported by the server

• 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 organization of the API
• 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 is true (the run is
• 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 cost is final. Waits
• 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 write/delete
  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 reading its prompt.
• 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. "claude", "gpt") and read
• 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 organization; reference them
• delete_workflow write/delete
  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 organization can have 50 sche
• 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 write/delete
  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.

Website · JSON · Text for agents · Registry updated 2026-10-26