What Quillly does
Quillly turns an AI assistant into a working member of your content team. It is an MCP server with 59 tools: your assistant reads what is already on the site, drafts the next piece, scores it against an SEO rubric, fixes what the score flags, finds images and internal links, and publishes the finished result — as a blog post, a docs page or a changelog entry — to a domain you own. Nothing is copy-pasted between a chat window and a CMS, because the assistant writes straight into the platform that serves the page.
After publishing, Quillly keeps working: it submits your sitemap to eight search engines, watches indexing status, pulls performance data back from Search Console, and tracks how the pages you already own are ranking. Every published page also ships a machine-readable twin — the same article as clean markdown, plus an llms.txt index — so AI crawlers and assistants can read your content instead of guessing at it.
How it is used
- Connect your assistant. Claude, ChatGPT, Cursor and any other MCP client connect to
https://quillly.com/api/mcpwith an API key or through OAuth. The full machine-readable description of that endpoint is at /openapi.json. - Connect your site. Point a path on your domain at Quillly with one reverse-proxy rule, or publish on a Quillly-hosted subdomain. Either way the content lives at your address and the SEO equity is yours.
- Work in plain language. Ask for a post, a docs page, an audit or a ranking report. The scoring tools grade the draft against the same rubric before it goes live and hand back the specific fixes, so quality is checked by the platform rather than left to the prompt.
Who builds it
Quillly is a small independent product, and it runs on itself: the blog, docs and changelog on this site are written, scored and published through exactly the tools our customers use. That is deliberate — anything annoying to run daily gets fixed quickly, because we run it daily.
Support goes to a person, not a ticket queue. Email [email protected], or DM the founder on X — the handles and the response times are on the contact page.
Pricing, in one line
One plan at $9/month, with a 14-day free trial that needs no card. Full terms are in the Terms of Service, and what we collect and why is in the Privacy Policy.
Where to go next
- Documentation — setup, publishing, and the MCP tool reference.
- OpenAPI spec and llms.txt — the machine-readable entry points for agents and integrations.
- Contact — questions, feedback, or anything that needs a human.
- Privacy and Terms — the legal details.