AnswerLine

npx add-mcp 'https://mcp.answerline.dev/mcp'

Build with AnswerLine

Send a prompt and get back, as JSON, the answer ChatGPT, Gemini, Perplexity, Copilot, Grok, Google AI Mode, Google Search, and Google News show a person.

1

Get an API key

Sign up and copy a key from the dashboard. The first 100 requests are free.

2

Send a first request

One call, one answer, in curl, TypeScript or Python.

3

Go async at scale

Queue batches of up to 500 tasks and get results by webhook.

First request

curl -X POST "https://api.answerline.dev/v1/monitor/chatgpt" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"What are the best running shoes for flat feet?","country":"US","include":{"markdown":true}}'

Set API_KEY to your key first. Install an SDK with npm install @answerline/sdk or pip install answerline. The quickstart covers async tasks, webhooks and country targeting.

Use it from your AI assistant

The hosted MCP server turns every engine into a tool your assistant can call.

claude mcp add --transport http answerline https://mcp.answerline.dev/mcp --header "Authorization: Bearer $API_KEY"

Engines

Each engine page lists the fields it returns and its price. Request options are in the API reference.