# Async Interview — how to use (mcp.ai)

Connect your Async Interview account and use 4 tools for human resources straight from your AI agent. Connect with your own API key. Async Interview is an on-demand video interview platform that streamlines the hiring process by allowing candidates to respond to pre-recorded questions at their convenience, enabling employers to review responses asynchronously.

## Option A — via MCP (recommended)
Remote MCP endpoint (HTTP, streamable): `https://api.mcp.ai/p_async_interview?ms=1787295720000`
Add it as a custom/remote MCP connector in your client (Claude, Cursor, VS Code…), then authenticate when prompted. Once connected, ask the agent to use the server's tools (e.g. `async_interview_delete_job`).

## Option B — via direct REST API
Base URL: `https://api.mcp.ai/api/async_interview`
Auth: `Authorization: Bearer sk_live_…` — create a workspace API key at https://mcp.ai/settings/api-keys
Discover endpoints: `GET https://api.mcp.ai/api/async_interview/_endpoints`

### Endpoints
- `POST https://api.mcp.ai/api/async_interview/delete/job` — Tool to delete an interview job. Use when you need to permanently remove a job after reviewing responses.
  - body: { job_id: integer|string }
- `POST https://api.mcp.ai/api/async_interview/list/interview/responses` — Tool to retrieve all interview responses with candidate details. Use when monitoring incoming responses or triggering follow-up workflows.
- `POST https://api.mcp.ai/api/async_interview/list/jobs` — Tool to retrieve a list of all interview jobs. Use when you need to display or manage existing jobs.
- `POST https://api.mcp.ai/api/async_interview/update/job` — Tool to update an existing interview job. Use when you need to modify job details after creation.
  - body: { title?: string, job_id: integer|string, is_public?: boolean, sub_title?: string, description?: string }

## Example prompts
- "What can I do in Async Interview?"
- "Show me a summary of my Async Interview account"

## More
- Page: https://mcp.ai/async_interview
- Agent spec (llms.txt): https://mcp.ai/async_interview/llms.txt
- Postman collection: https://mcp.ai/async_interview/postman.json