mcpField
R
Rampify

Rampify

Remote
rampify.devBusiness & Marketing3Updated 18w ago

About Rampify

Rampify is a remote MCP server for SEO and AI-answer visibility work, aimed at development teams analyzing and improving websites from coding agents. It combines site crawls with keyword and Search Console data, turns findings into specs, and can open pull requests.

Key features

  1. 01Crawl sites for metadata, schema, and performance
  2. 02Retrieve keyword and Search Console data
  3. 03Generate optimized meta tags and JSON-LD
  4. 04Research visibility in AI-generated answers
  5. 05Turn findings into feature specs and open PRs

Use cases

  1. 01Find search performance and page optimization gaps
  2. 02Assess how buyers discover products in AI answers
  3. 03Turn SEO fixes into tasks and code changes

MCP support

Rampify provides a hosted remote MCP server that connects to clients such as Claude Code and Cursor over OAuth. It exposes tools for site crawling, search data analysis, content generation, specification drafting, and opening PRs.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.rampify.dev/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Rampify MCP Server

The SEO MCP server that acts on your data. Connect Rampify to Claude Code, Cursor, or any MCP client and your agent crawls your site, synthesizes the gaps, writes the fix as a spec, and ships it. One connection, grounded in your actual site.

Website · Product · Docs · Connect

Your website is your product. Ship it like one. Rampify brings your dev workflow (observe, spec, build, verify, iterate) to your website's search and AI-answer visibility, inside the coding agent you already use.

Why Rampify is different

Most SEO MCP servers are read-only data faucets. Rampify does the whole job in one connection: it pulls the data, finds the gaps, writes the fix as a spec, and your agent ships it (a PR to your repo, or a publish through your CMS's MCP).

  • Batteries included. Rampify retrieves keyword data (via DataForSEO) and your Google Search Console performance built in, plus a live crawl of your own site. No separate data servers to bolt on.
  • It acts, not just reads. Generate titles, meta, and JSON-LD schema grounded in that data, then open the PR.
  • Track it like you track code. Findings become feature specs with affected URLs and tasks, then link the commits that resolve them, so marketing work has the same paper trail as your engineering.
  • Find your blind spots. Discovery research runs as your buyer and shows where you're invisible when people ask AI assistants about your category.

Connect

The Rampify MCP server is remote, hosted at https://www.rampify.dev/api/mcp. No install, nothing to keep updated, new tools appear automatically. Connect over OAuth, with no API keys to manage:

  • Cursor / VS Code: one-click add
  • Claude Code / Claude Desktop: paste one command
  • claude.ai: add as a custom connector by URL
# Claude Code (OAuth prompts on first connect)
claude mcp add --transport http rampify https://www.rampify.dev/api/mcp

Full per-client instructions: Connecting guide →

What your agent can do

Crawl and scan your site (meta, schema, content, Core Web Vitals), look up keyword volume and trends, pull Search Console performance, generate optimized meta tags and JSON-LD schema, run Discovery research on your AI-answer visibility, turn findings into feature specs, and open PRs. See the full tool catalog →.

Learn more


Looking for the old @rampify/mcp-server npm package? It is deprecated in favor of the hosted remote server above (zero install, always current). The source in this repo is kept for historical reference.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.