Your website is your product.
Ship it like one.
You already know how to ship software: observe, spec, build, verify, iterate. Rampify brings that same discipline to your website’s search and AI visibility, the part of your product the world actually sees, inside the agent you already build with.
Zero install · OAuth · works in Claude Code, Cursor, VS Code, and Claude
The gap
SEO data is everywhere. Acting on it is the hard part.
There’s no shortage of SEO MCP servers. DataForSEO, Ahrefs, Semrush, SE Ranking, and the Google Search Console MCP all bring real data into your agent. But they’re read-only, and each one is a separate faucet. They tell you the title tag is too long, the schema is missing, the page is thin. Then you switch to your editor, reconcile three tools’ worth of output in your head, and do the work yourself.
The data was never the bottleneck. The synthesis and the work are. Rampify is built for both.
Same discipline
It’s the same discipline you already use
Shipping software is observe, spec, build, verify, iterate. Getting your website found is the same work in a different discipline. Rampify makes your website answer to it.
| Stage | How you ship software | Your website, with Rampify |
|---|---|---|
| Observe | Logs, errors, metrics | Crawl, Search Console, and Discovery (where you’re invisible in AI answers) |
| Spec | Plan the change | A feature spec with affected URLs and exact instructions |
| Build | Implement | Generate meta, schema, and content |
| Verify | Tests and CI | Re-scan the page and validate the schema |
| Ship | PR and deploy | A PR to your repo, or a publish via your CMS’s MCP |
| Iterate | Measure, adjust | Re-run Discovery, track citations, adjust |
Same architecture, different discipline. Your website is the part of your product the world sees first; this is how you ship it with the rigor you already give your code.
What it is
SEO that runs where you already work
Rampify is a remote MCP server that speaks the Model Context Protocol, the open standard from Anthropic for connecting AI assistants to external tools. Connect once over OAuth, with no install and nothing to keep updated; new tools appear automatically. From inside Claude Code, Cursor, VS Code, Windsurf, or the Claude apps, your agent can:
- Crawl and scan your site (meta, schema, content, Core Web Vitals) and pull it together with keyword data and Search Console performance
- Generate the fix titles, descriptions, JSON-LD schema, grounded in that synthesis, not the model’s guess
- Write it up as a spec with the affected URLs and exact change instructions
- Ship it hand the work to your agent: a PR to your repo, or a publish through your CMS’s MCP
It doesn’t stop at analysis. It turns findings into work your agent can ship. That’s the difference.
What’s unique
Track it like you track code
No other SEO MCP does this. Rampify turns findings into feature specs with affected URLs and tasks, then links the commits that resolve them, so your marketing work has the same paper trail as your engineering.
create_feature_spec / create_spec_task: plan the change as a spec with taskslink_commit: attribute the commit that shipped itget_commit_message: generate the message, spec trailer and all
Spec it, ship it, link the commit. The same workflow you already trust, pointed at the part of your product the world actually sees.
Try these
Things to ask once you’re connected
No commands to learn. Talk to your agent the way you already do:
Why the fix is worth trusting
Grounded in your actual site, not the model’s guess
Any agent can edit a title tag. The question is whether it should. Rampify’s recommendations come from synthesis, not vibes:
A real crawl of your site
Rampify reads your actual pages, not a cached snapshot or assumptions, and overlays the data onto them. Your site is the source of truth.
Multiple sources, one picture
Page intelligence, keyword data, and Search Console performance are combined into one view, so a recommendation reflects what’s true across all of them.
Gaps you can’t see from inside
Discovery sends queries out as your buyer and reports where you’re invisible in AI answers and search, so you fix what costs you customers, not what’s merely untidy.
Organized as specs, built for handoff
Findings become feature specs with affected URLs and concrete instructions. The work is structured the moment it’s identified, and your agent has everything it needs to execute.
This is what turns a coding agent into a marketing agent: not a slogan, but synthesized, site-specific data plus a clean path to act on it.
See a real session
What it actually looks like
No dashboard tour. Here’s a developer working on their Next.js SaaS, in the flow of one chat. The notes call out what’s happening under the hood.
Illustrative session: the tool names are real; the example is representative. We run this same loop on rampify.dev itself.
/pricing page. How’s it doing for SEO, and would it even show up if someone asked an AI assistant to recommend a tool in our space?Product/Offer schema, so AI engines can’t read your plans. Search Console shows impressions for “[your brand] pricing” but almost nothing for the non-branded queries that bring new buyers. And for “best tool for [your use case],” competitors get surfaced and you don’t. The page isn’t structured to be quoted by an answer engine.1. Add
Product + Offer JSON-LD per tier2. Rewrite title + meta to target “[category] for [use case]” intent
3. Add an answer-shaped “Which plan is right for you?” FAQ, schema-backedAffected URL:
/pricing. Each task has the exact change. Want me to start with the schema?generateMetadata for the new title/description, and added the FAQ block with matching FAQPage schema. The diff’s scoped to the pricing route; nothing else touched. Review when you’re ready.Four things just happened that a data-only MCP plus a generic agent can’t do together:
One connection
One brain for SEO. Composable with everything else.
The common setup stitches two to four MCP servers (one for keywords, one for Search Console, one for backlinks), each a stateless faucet that doesn’t know about the others. Rampify is one connection that already includes the keyword data (DataForSEO) and your Search Console performance, and the steps feed each other: the crawl and keyword data ground the spec, the spec drives the fix, the fix gets verified.
And it doesn’t lock you to a surface. Rampify is the decision layer: it works out what to change and why. Your agent is the execution layer. Point it at your repo and it opens a PR; pair it with a CMS’s MCP server (the Sanity MCP, say) and the same agent researches, specs, and publishes.
This isn’t about having more data than the dedicated providers; they’re excellent at that. It’s one coherent brain that plays well with the rest of your stack.
Where Rampify fits
Data layers read. Rampify acts.
| Server | What it does | Read / act |
|---|---|---|
| DataForSEO / Ahrefs / Semrush / SE Ranking MCP | Keyword, rank, backlink, and SERP data | Read-only data layer |
| Google Search Console MCP | Your first-party search performance | Read-only; Rampify already includes it |
| next-devtools-mcp (Vercel) | Routes, metadata, and errors from your dev server | Code-aware, read-focused |
| Frase MCP | Content creation that publishes to its CMS integrations | Acts, but closed and marketer-first |
| Rampify | Crawls, synthesizes, and specs the fix; your agent ships it | Reads and acts; composable |
Rampify already includes the data most of these cover: keyword search volume via DataForSEO and your Search Console performance. That’s one connection, not three, and it acts on the data instead of just handing it back.
It’s honest about scope: Rampify isn’t a backlink database or a large-scale rank tracker, so for those a dedicated vendor still has its place. It’s built for developers who control their site, not for managing content inside a single closed CMS.
Builders who ship with Rampify
I always knew SEO and AEO are important but dealing with individual error files of ahrefs or the cryptic GSC warnings were such a blocker taking care of the basics. With Rampify, I finally have the tool that not just gives me data but gives me the solution to all my problems at the click of a button. For the first time, SEO and AEO are not just easy but fun to work on.
Before Rampify, I was fumbling in the dark. I'd try things that seemed important, piece together scraps of data from Plausible and Search Console, but never tie any of it into a real strategy. With Rampify, we built out a real business profile, ran discovery to see where Claude was (and wasn't) recommending us, turned the gaps into actual content specs, and shipped them. For the first time, I can see how LLMs are citing our pages and act on it. For a small business owner where marketing always seems to take a back seat, that's been a game changer. Highly recommend.
Connect
Connect in three steps
- 1
Add the server
In Cursor or VS Code, one-click add. In Claude Code or Desktop, paste one command. In claude.ai, add it as a custom connector by URL.
- 2
Pick your project
The OAuth flow scopes Rampify to the project you’re working on. No API keys to manage.
- 3
Start talking
Ask your agent to crawl your site and find the gaps. The tools appear automatically.
FAQ
Common questions
What is the Rampify MCP server?
A remote Model Context Protocol server that gives your AI coding agent SEO tools (site crawl, page scans, issue detection, meta and schema generation, keyword research, and Google Search Console access). Unlike read-only SEO MCP servers, it synthesizes what it finds and turns it into specs and fixes your agent can ship.
How is it different from the DataForSEO, Ahrefs, or Semrush MCP servers?
Those are read-only data layers: they bring SEO data into your agent. Rampify synthesizes data across a crawl of your own site plus keyword and Search Console data, then turns it into specs and changes your agent can ship. It complements a data MCP rather than replacing it.
Does it only work on Next.js or custom-coded sites?
No. Rampify is the SEO decision layer; your agent does the writing. On a custom-coded site it opens a PR to your repo. On a CMS, the agent can publish through that CMS’s own MCP server (for example, the Sanity MCP). Rampify stays surface-agnostic.
What is the best SEO MCP server for Claude Code or Cursor?
For pulling data, the dedicated data providers are strong. For acting on SEO inside your workflow, not just reading it, Rampify is built for that: it crawls and synthesizes, specs the fix with affected URLs, and your agent ships it.
Do I need to install anything?
No. It is a remote server. You connect over OAuth and start using it; new tools appear automatically with no version updates.
Do I need the Google Search Console or DataForSEO MCP servers too?
No. Rampify already retrieves your Google Search Console performance and keyword data (via DataForSEO) as built-in tools, so you don’t need separate data servers for those. For deep backlink databases or large-scale rank tracking, a dedicated vendor still has its place.
What does a typical session look like?
You ask your agent about a page or your site; it crawls and synthesizes the data, flags the gaps including where you are invisible in AI answers, writes the fix up as a spec, ships it as a pull request or a CMS publish, and verifies the change after deploy, all in one conversation.
Bring SEO into the agent you already use.
Connect once and your agent can crawl, synthesize, spec, and ship. No install, no API keys, no dashboard to babysit.
Free to connect · OAuth · works in Claude Code, Cursor, VS Code, and Claude