al.ephemer/ephemeral
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Publisher-provided title
Ephemeral
Publisher-provided description
Run AI agent tasks in isolated sandboxes with a cost cap, saved workflows and scoped connections.
Summary by lookupd
Runs AI agent tasks in isolated sandboxes with cost caps, saved workflows, schedules and scoped connections.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ephemeral https://app.ephemer.al/mcp
Codex, remote (streamable-http)
codex mcp add ephemeral --url https://app.ephemer.al/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ephemeral": {
"url": "https://app.ephemer.al/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (19 tools)
Publisher-provided text
create_runStart 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 blget_runRead 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 usuwait_for_runWait 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 waitinlist_runsList 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 thecancel_runCancel a run that has not finished. Work already done is billed. Cancelling a finished run changes nothing.list_workflowsList the organization's saved workflows (reusable run definitions). Each entry has the workflow's name and, when set, its description, input_schema (the shape oget_workflowRead a saved workflow's definition: description, prompt, model, files, connections, limits and its input_schema and output_schema. Credentials are never includelist_modelsFind 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 thlist_connectionsThe 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 nsave_workflowCreate 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 itdelete_workflowPermanently 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_schedulesList 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_scheduleRead a schedule: timetable, time zone, input, cost cap, whether it is enabled, its next start and the outcome of its last start.create_scheduleStart 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)update_scheduleChange 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 fdelete_schedulePermanently 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 instepreview_scheduleCheck a cron expression and time zone and return the next five start times (UTC), without saving anything.run_scheduleStart 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 callist_filesList 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; uplo
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 1412 ms
- First indexed:
- Last seen in registry:
- Website: https://ephemer.al/
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