How to Connect ElevenLabs Agents to Cursor Coding Agents

The Cursor integration lets an ElevenLabs agent start and monitor background coding work on a GitHub repository. Use it to delegate a clearly scoped task and retrieve the resulting status or pull request. A successfully launched agent is not proof that the code is correct or ready to merge.

Check requirements first

You need an eligible Cursor account, repository access and a working cloud-agent environment. ElevenLabs' integration documentation says free-plan keys do not support this background-agent API workflow. Check current plan eligibility, usage and spending controls before launching work.

Capability	Documented integration support
Zero Retention Mode	Not supported
Tool attachments	Not supported; tools operate on text

This integration sends coding instructions from ElevenLabs to Cursor. It is different from connecting Cursor to ElevenLabs tools to manage voice-agent configuration.

Connect the Cursor credential

Open the Cursor dashboard and find API-key management. ElevenLabs' guide calls this Integrations & MCP; current Cursor interfaces may show API Keys.
Create a key appropriate for the intended account and repository access.
Open the Cursor integration setup in ElevenLabs and enter it in the API Key field.
Attach the required Cursor tools to the intended ElevenLabs agent.

Keep the key in the credential field or supported secret storage. Do not put it in the prompt, a public demo or a spoken conversation. Consult the ElevenLabs setup reference and Cursor Cloud Agents documentation for current requirements.

What the tools do

Tool	Purpose	Practical use
`launch_cursor_agent`	Start a repository task; may create a pull request if configured	Launch one approved, well-defined change
`list_cursor_agents`	List agents and status, with pagination	Find an existing run before creating a duplicate
`get_cursor_agent`	Retrieve a specific run's state and results	Check completion, failure or a result link
`get_cursor_agent_conversation`	Retrieve prompts and responses for an available run	Inspect assumptions and reported checks; deleted runs are unavailable
`add_cursor_agent_followup`	Send additional guidance to an existing run	Clarify the task without launching another agent

Define a task the agent can verify

Supply the exact repository, base branch, problem, expected behavior and required checks. Restrict caller access to approved repositories and task types; a public voice interface should not let anyone request changes to arbitrary code.

In [approved repository] from [base branch], fix [specific problem].
Expected behavior: [observable result].
Scope: [files or component], with no unrelated refactoring.
Follow the repository's instructions and run [relevant checks].
Create a branch and draft pull request if supported. Do not merge or deploy.
Report changed files, checks actually run, failures and unresolved assumptions.

The prompt guides behavior; permissions and repository controls must enforce the allowed access. For related context, see ElevenAgents tool calls and Cursor action-approval controls.

Test one controlled change

Use a repository and branch you are authorized to modify, with a small reversible task.
Launch once and retain the returned run ID.
Retrieve status by that ID. If a request times out, check for an existing run before retrying.
Use a follow-up for clarification and verify that it targets the correct run.
Inspect the resulting diff, test output and pull request in GitHub.

Check that the agent changed the intended behavior and did not modify unrelated files or expose secrets. Review dependencies and deployment configuration when relevant. Keep merge and deployment decisions separate from generating a patch.

Troubleshoot by the failure stage

Authentication fails: Check the key, account and whether the credential was revoked.
Repository access fails: Verify the connected account's permissions and the selected repository.
Run starts but tests fail: Inspect environment setup and the actual error before changing the prompt.
No clear result: Retrieve run details and conversation; do not report success from a launch response alone.

Record usage during testing. Cloud-agent work can incur charges even when its output needs revision.