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Cursor Agents

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Arcade Optimized

Arcade.dev tools for operating Cursor Cloud Agents

Author:Arcade
Version:1.0.3
Auth:No authentication required
16tools
16require secrets

Cursor Agents Toolkit

Provides Arcade tools for operating Cursor Cloud Agents — programmatically launching, managing, and inspecting AI coding agents that run on GitHub repositories in Cursor's cloud.

Capabilities

  • Agent lifecycle management: launch agents on repos or named environments, archive/unarchive reversibly, or permanently delete agents.
  • Run control and polling: start follow-up runs, cancel active runs (with async semantics — poll to confirm terminal state), and retrieve run status, results, branches, and PRs.
  • Artifact and output access: list and download time-limited links for background-composer-uploaded artifacts; code changes land on the run's branch/PR, not in artifacts.
  • Observability and usage: fetch per-agent token usage broken down by run, list all runs (newest first), and retrieve individual run details including final result text.
  • Discovery helpers: list available LLM models (Claude, GPT, Gemini families) accepted by the launch tool, list all reachable GitHub repositories, and verify the authenticated account with WhoAmI.

Secrets

CURSOR_AGENTS_API_KEY — A Cursor API key that authenticates all requests to the Cursor Cloud Agents API. To obtain one, log in to your Cursor account, navigate to your account or API settings, and generate an API key. The key must belong to an account that has access to Cursor Cloud Agents (check your plan/tier if the key does not return agents). Confirm the key is working by calling CursorAgents.WhoAmI before launching or managing any agents.

For how to configure secrets in Arcade, see the Arcade secrets guide. You can also manage secrets directly at https://api.arcade.dev/dashboard/auth/secrets.

Available tools(16)

16 of 16 tools
Operations
Behavior
Tool nameDescriptionSecrets
Archive a cloud agent so it stops accepting new runs (reversible). The archive is committed once accepted; if the follow-up read of the agent fails, the result carries only the agent id with an empty status, and reading the agent again returns the refreshed state.
1
Cancel an active run; cancelling an already-terminal run returns an error. Cancellation is accepted asynchronously: the returned status reflects the run's state at the moment of the call and may still be non-terminal even though the cancel was accepted. Poll the run afterward to confirm it settles to CANCELLED; do not treat a non-terminal status here as a failed cancel. If the post-cancel read of the run fails, the result carries an empty status instead of an error. Upstream failures carry a stable bracketed code before the message when Cursor supplies one (an open set; the most common here is ``[run_not_cancellable]``, returned when the run is already terminal).
1
Permanently delete a cloud agent. This cannot be undone.
1
Get a time-limited download link for one uploaded artifact file. Artifacts are Cursor "background composer" uploads, not an agent's code changes; for code output read the run's branch and PR instead.
1
Get a cloud agent's configuration and latest run pointer.
1
Get token usage for an agent, summed and broken down per run.
1
Get a run's current status, and its result, branches, and PR once terminal.
1
Launch a Cursor cloud agent on a repository or named environment. This single call starts the agent and its first run; follow it to completion with the run tools.
1
List your cloud agents, newest first.
1
List the artifact files a cloud agent explicitly uploaded. Artifacts are Cursor "background composer" uploads. Code an agent writes to a repo lands on the run's branch and PR (see the run's ``branches``), not here, so this is empty for typical fix-a-repo / open-a-PR tasks.
1
List the LLM models available to launch a cloud agent with. Returns the model ids (e.g. Claude, GPT, and Gemini family models) accepted by the launch tool's model parameter, with display names and aliases.
1
List every GitHub repository Cursor can reach, as repository urls. The upstream returns the full set in one response, so this is always the complete list and never a partial page.
1
List an agent's runs, newest first. Listing omits each run's final result text; read an individual run to get it.
1
Send a follow-up prompt to an existing agent, starting a new run. An agent runs one turn at a time. Upstream failures carry a stable bracketed code before the message when Cursor supplies one (an open set; the most common here is ``[agent_busy]``). If this returns ``[agent_busy]``, the agent already has an active run: poll that run until is_terminal, then resend the follow-up.
1
Restore an archived cloud agent to active. The restore is committed once accepted; if the follow-up read of the agent fails, the result carries only the agent id with an empty status, and reading the agent again returns the refreshed state.
1
Return the Cursor account the API key authenticates as. Call this first in a session to confirm which account you are acting on before launching or managing any cloud agents.
1
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