PMM Tools docs
PMM Tools turns a competitor’s website into source files your AI can read: clean markdown and a screenshot of every page that matters, kept fresh and served over MCP. These docs explain how it works and walk through each part of the competitor analysis, from adding a competitor to asking your AI about it.
Start here
How it works
The competitor analysis process PMM Tools runs, step by step: find every page, sort it, capture it, keep it fresh, and let your AI read the sources.
MCP quickstart
Connect your AI client: the server URL, sign-in or connection key, every tool, and plan limits.
Guides
Add a competitor and find its pages
Add a competitor to PMM Tools from its domain, review the pages discovery found, and choose which ones belong in your competitor analysis.
Capture competitor pages and check the source
How to capture competitor pages: what each capture holds (markdown, screenshot, source URL, date), how to read one, and what happens when a site blocks capture.
Refresh captures and monitor competitor website changes
Monitor competitor website changes: keep captures fresh with a run or a schedule, compare two versions of a page, and see what changed since a date.
Research competitors with your AI over MCP
Research competitors with your AI: connect Claude, ChatGPT, Cursor or Codex over MCP and ask questions it answers from captured pages, with citations.
Export competitor research as a bundle
Export competitor research as one ZIP: every captured page’s markdown and screenshots plus a manifest, from a competitor’s Export tab or over MCP.
Connect your AI client
For agents and developers
- llms.txt: the whole site as a markdown index. Every docs page is also served as markdown to a request that asks for
text/markdown. - OpenAPI spec: the HTTP API for competitors, URL collections, captures and runs, with the same key as MCP.