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Research competitors with your AI over MCP

To research competitors with your AI, connect your AI client to the PMM Tools MCP server once. After that, ask in plain language: your AI lists a competitor’s captured pages, reads the ones the question needs, and answers with links to the pages it used. Nothing to download or upload per conversation.

New to doing competitor analysis with AI? Read how it works and why sources matter

Connect once

Claude (claude.ai and Claude Desktop) and ChatGPT connect by signing in. Claude Code, Codex CLI and Cursor use a connection key from the Connect agent page. The MCP quickstart has the exact steps for each client.

How your AI reads the sources

  1. Choose pages

    pmm_competitor_pages lists a competitor’s captured pages, one short row each, starting with the product-surface categories.

  2. Read them

    pmm_competitor_read returns each page’s whole markdown with its URL, capture time and a hash, so the answer can cite the exact capture.

  3. Go wide when needed

    For a whole competitor at once, pmm_competitor_bundle builds a ZIP your agent can download and unzip into a folder.

An AI chat asked to compare Orbit’s pricing calls pmm_competitor_pages and pmm_competitor_read, then answers citing orbit.example/pricing and orbit.example/compare/asana.
Illustration: real PMM Tools screens with a fictional company, Orbit.

Ask good questions

Name the competitor and the question, and ask for citations. Give your AI your own context too: your product, your buyer, your angle. That is what turns source pages into an analysis no summary could give you.

Do it over MCP

Everything above also works from your AI client. These tools do the same job; see the MCP quickstart to connect.

  • pmm_competitor_list
  • pmm_competitor_pages
  • pmm_competitor_read
  • pmm_competitor_bundle
  • pmm_changes_since
  • “Compare Orbit’s pricing with ours. Cite the PMM Tools pages you used.”

    Calls: pmm_competitor_pages, pmm_competitor_read

  • “Across my competitors in PMM Tools, how does each one position against us on their comparison pages? Quote them.”

    Calls: pmm_competitor_list, pmm_competitor_read

Questions

Which AI apps work with PMM Tools?

Any client that speaks MCP. There are step-by-step guides for Claude Code, Claude Desktop and claude.ai, Codex CLI, ChatGPT and Cursor.

Does reading pages over MCP use credits?

No. Reading captures does not draw capture credits. MCP requests have their own hourly budget, 30 to 180 per hour depending on plan, and starting a run draws credits like the Run button does.