AnswerLine MCP MCP server

AnswerLine provides an official MCP server that allows AI agents to query multiple AI engines (ChatGPT, Gemini, Copilot, etc.) and search engines (Google Search, News) to retrieve structured JSON answers and source citations. This enables developers to monitor AI visibility, perform SEO analysis, and integrate real-time AI responses into their applications via standard MCP tool calls.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by AnswerLine

MCP endpoint (Streamable HTTP)

https://mcp.answerline.dev/mcp

Vendor documentation

What you can do with it

Query ChatGPT or Gemini for structured answers to specific prompts
Retrieve Google Search results and citations for SEO analysis
Monitor AI visibility and brand presence across different engines
Integrate AI-generated content and sources into agent workflows

Tools advertised by the last live check:

chatgpt
gemini
google_news
google
aimode
copilot
credits

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http answerline-mcp https://mcp.answerline.dev/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add answerline-mcp --url https://mcp.answerline.dev/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable answerline-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "answerline-mcp": {
      "url": "https://mcp.answerline.dev/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "answerline-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.answerline.dev/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start answerline-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "answerline-mcp": {
      "type": "http",
      "url": "https://mcp.answerline.dev/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http answerline-mcp https://mcp.answerline.dev/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "answerline-mcp": {
      "url": "https://mcp.answerline.dev/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "answerline-mcp": {
      "serverUrl": "https://mcp.answerline.dev/mcp"
    }
  }
}

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