Free check · asks Claude live while ChatGPT is paused, with a second opinion from Perplexity

AI visibility checker for MCP servers and AI agent tools

Developers wiring up an agent ask an assistant which MCP servers and tools exist for the system they need to reach. Enter your tool and what it connects or does. We ask Claude, with Perplexity as a second opinion, three questions and show which tools it named.

The task as a developer says it: "browser automation for agents", "searching Jira issues", "sending invoices from Stripe".

Asks ChatGPT (or Claude, Gemini or Perplexity if ChatGPT is unavailable), then Perplexity for a second opinion. Free, no account, about a minute. Add your website and a link to it counts too.

The questions the check will ask

  1. Which MCP servers specialize in giving AI agents read access to Postgres databases?
  2. Which AI agent tools specialize in giving AI agents read access to Postgres databases and are open source?
  3. Which MCP servers or agent frameworks specialize in giving AI agents read access to Postgres databases with proper permission controls?

ChatGPT (or Claude, Gemini or Perplexity if ChatGPT is unavailable), then Perplexity for a second opinion searches the web for each answer. An answer to the same question is shared for 7 days.

Questions developers ask AI about MCP servers and agent tools

Developers ask about agent tools while they build, often inside the assistant they are wiring up. The question names the system to reach, the client they use and a constraint such as hosting, licence or access control.

  • Which MCP servers specialize in reading and writing Google Sheets?
  • Is there an MCP server for Salesforce that supports OAuth instead of a stored password?
  • Which agent tools let Claude control a headless browser for testing?
  • Which MCP servers specialize in searching a company’s Confluence and Slack together?
  • What is the most reliable open source MCP server for GitHub issues and pull requests?
  • Which AI agent tools specialize in sandboxed code execution for data analysis?
  • Which MCP servers can I self-host to give agents access to our internal APIs?

The check asks 3. On Growth, Rankli asks 50 of yours every week on Claude and Gemini.

What an assistant reads before it names an MCP server

For a tooling question, the assistant searches code hosts, registries, documentation sites and developer threads. It names the servers and tools those pages describe as doing the task, for the client and setup in the question.

  • A README that names the system and the task first

    "An MCP server for Postgres that lets agents run read-only queries" matches a question. A README that opens on installation steps or a logo leaves an assistant to infer what the tool is for, and it may not.

  • Listings in MCP registries and directories

    Public registries and curated lists of MCP servers are among the first pages a search for agent tools finds. A listing with the same one-line description as your README gives the assistant a second source that agrees.

  • Documentation pages, one per tool the server exposes

    Developers ask whether a server supports a specific action. Docs that list each tool, its inputs and its permissions, in text rather than screenshots, answer that question in words an assistant can lift.

  • Security and auth spelled out

    Connecting an agent to real systems raises questions about scopes, tokens and audit logs. A plain section on how your tool authenticates and what it can never do answers them, provided it matches the code.

Rankli for software companies

What three questions tell an agent tool maker, and what they leave out

  • The MCP ecosystem changes weekly, and an answer can lag behind new releases. One run is a snapshot of what the assistant found that day.
  • It checks one task per run. Growth tracks 50 questions a week across your integrations and rivals and counts how often you are named.
  • For now it asks Claude, with Perplexity as a second opinion, and says which assistant gave each answer (ChatGPT resumes once our OpenAI access is restored). ChatGPT and Gemini can name other businesses for the same question.
  • It does not count stars, downloads or installs. It shows only whether an assistant named your tool and who it named instead.

Frequently asked questions

Why do AI assistants name other MCP servers for my integration?

Their search found READMEs, registry listings and threads that tie those servers to the task in plain words. Rankli shows the developer questions you lose and drafts the documentation page that answers each one.

Does a GitHub README count as a page an assistant reads?

Public repositories are often in its search results, and the README is the page it reads first. Its opening lines matter more than its length. Rankli checks whether your docs and README describe the same task.

Should an MCP server have its own website?

It helps when the tool does several jobs or targets non-developers too, because each job can get its own page. For a small server, good docs and listings may be enough. Rankli shows which sources each answer cited.

Which questions should an agent tool maker track?

Questions by system the tool reaches, by client such as Claude or an agent framework, and by constraint such as self-hosting or OAuth. Rankli drafts the list from your docs, and you can edit it.

Is the MCP server check free?

Yes, with no signup. The 7-day free trial of Rankli asks Claude and Gemini up to 50 of the questions developers ask about your integrations.

Find every question you’re losing

Rankli asks Claude and Gemini the questions your customers ask, every week. It writes a page for each one you lose, publishes it to your site and asks again to show what moved.

Start free trial

7 days free, then your plan. Cancel before day 8 and nothing is charged.

This page as plain text, for AI assistants: /tools/ai-visibility-checker-for-ai-agent-tools/llms.txt