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How to let Claude answer AI visibility questions from your data with Open

Connect Claude to a local Limelit instance so it can read your visibility data in plain language.

Who it is forA marketer or founder who already uses Claude and wants to ask questions like which competitor is ahead on a given engine without building dashboards.

The problemVisibility data sits in a dashboard that someone has to read and interpret, which slows down questions from the team.

The outcomeClaude answers questions about your brand's AI visibility by calling the Limelit MCP tools against your own SQLite data.

What you need first

  • macOS or Linux terminal with curl
  • Either a free Limelit Cloud account (sign in with Google) or your own provider API key, such as OpenAI's
  • Your brand domain, category and up to five competitor sites

Steps

  1. Complete the install and first run from the quick start so that ~/limelit contains the limelit binary.
  2. Run claude mcp add limelit -s user -- sh -c 'cd ~/limelit && exec ./limelit mcp' to register the server with Claude Code.
  3. For Claude Desktop, add the limelit entry with command sh and args -c and cd ~/limelit && exec ./limelit mcp to claude_desktop_config.json.
  4. Ask Claude for your current visibility; the first tool call reports whether the instance is not set up, never run, or ready.

Prompt for your agent

In the limelit-co/open repository, register the MCP server with `claude mcp add limelit -s user -- sh -c 'cd ~/limelit && exec ./limelit mcp'`. Then ask it for the visibility of <brand-name> against <competitor-name> across all engines. Expected output is a plain-language summary with the sample size behind each figure. Verify that the first tool call reports the instance state.

Caveat. The MCP server reads an instance that must already be set up and have run at least once, so a fresh install will report that it has not been run yet.

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