About RankReactor
RankReactor is a hosted SEO service that connects to live websites as projects and provides content generation and site metrics. Its hosted MCP server lets assistants inspect project data and request article or UGC video creation.
Key features
- 01Read project status and stored SEO metrics
- 02List generated articles and videos
- 03Refresh project metrics
- 04Queue SEO articles for creation
- 05Queue UGC-style videos for creation
Use cases
- 01Check a project's SEO status and metrics
- 02Review generated articles or videos
- 03Refresh tracked keyword and site metrics
- 04Request an SEO article or UGC video
MCP support
The hosted Streamable HTTP MCP server uses browser-based OAuth 2.1. It exposes project status and SEO data, generated content listings, metric refresh, and confirmed requests to queue articles or UGC videos.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://www.rankreactor.ai/mcpclaude mcp add --transport http flagman5-rankreactor https://www.rankreactor.ai/mcp{"mcpServers":{"flagman5-rankreactor":{"type":"http","url":"https://www.rankreactor.ai/mcp"}}}Open in Cursor{"servers":{"flagman5-rankreactor":{"type":"http","url":"https://www.rankreactor.ai/mcp"}}}Open in VS Code{"mcpServers":{"flagman5-rankreactor":{"type":"http","url":"https://www.rankreactor.ai/mcp"}}}{"mcpServers":{"flagman5-rankreactor":{"serverUrl":"https://www.rankreactor.ai/mcp"}}}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 READMERankReactor MCP
Config-only listing package for RankReactor's hosted Model Context Protocol server. This repository does not contain application or backend code.
RankReactor is a set-and-forget SEO product. You add a live website as a project. RankReactor reads the site, then can generate SEO articles and (on higher plans) UGC-style videos, and it tracks keywords, analytics, technical SEO, and a site audit.
MCP URL (use this exact host): https://www.rankreactor.ai/mcp
Always use www. The bare domain redirects and is not the MCP endpoint.
| Transport | Streamable HTTP |
| Auth | OAuth 2.1 in the browser (dynamic client registration and CIMD, PKCE S256). No API key belongs in client config. |
| Account | A RankReactor account is required. A Free plan is available. |
| Privacy | Privacy policy |
| Terms | Terms of service |
| Support | [email protected] |
Plans: Free (1 lifetime article per project), Starter $39/mo, Pro $79/mo, Ultra $159/mo. UGC video is available on Pro and Ultra.
The hosted tools let an assistant read project status and stored SEO metrics, list generated articles and videos, refresh metrics, and queue new articles or UGC videos (write actions ask for confirmation). The current tool list is documented at Use RankReactor with your AI assistant.
Sign-in
Add the URL in your client. The client opens a browser so you can sign in to RankReactor and authorize the connection. Config files in this repo only contain the public URL.
Claude (claude.ai custom connector)
Remote MCP custom connectors work on Claude, Cowork, and Claude Desktop (Anthropic help). Free Claude accounts can add one custom connector.
One-click: Add RankReactor in Claude
Pro / Max
- Open Customize → Connectors.
- Click +, then Add custom connector.
- URL:
https://www.rankreactor.ai/mcp - Leave Advanced settings empty unless Claude asks for a client id.
- Click Add, then finish the browser sign-in.
Team / Enterprise: an Owner adds the URL under Organization settings → Connectors (Add → Custom → Web). Members then open Customize → Connectors and click Connect.
Enable the connector per conversation from + → Connectors.
Claude Code
From Claude Code MCP docs:
claude mcp add --transport http rankreactor https://www.rankreactor.ai/mcp
That writes a local-scope entry. Use --scope user for every project, or --scope project to write .mcp.json in the repo.
Then run claude, type /mcp, select rankreactor, and Authenticate so the browser OAuth flow can complete.
Grok (grok.com)
From xAI Connectors:
- Open grok.com/connectors.
- Click New Connector, then Custom.
- Enter
https://www.rankreactor.ai/mcpand finish any authentication prompt.
On Grok Business / Enterprise, a team admin may need to provision the connector first in console.x.ai (Grok Business → Connectors → Add Connector → Other).
A Grok Build marketplace listing is a separate follow-up (see the pull request for the catalog entry text). You can still point Grok Build at this repo once it is listed, or add the same URL as a custom connector.
Cursor
Install link (opens Cursor; MCP install links):
Deeplink equivalent:
cursor://anysphere.cursor-deeplink/mcp/install?name=rankreactor&config=eyJ1cmwiOiJodHRwczovL3d3dy5yYW5rcmVhY3Rvci5haS9tY3AifQ==
Manual mcp.json (Cursor MCP docs): project file .cursor/mcp.json, or ~/.cursor/mcp.json for every project.
{
"mcpServers": {
"rankreactor": {
"url": "https://www.rankreactor.ai/mcp"
}
}
}
This repo also ships a Cursor plugin manifest at .cursor-plugin/plugin.json plus mcp.json for Cursor Marketplace review, and a root .mcp.json for cursor.directory auto-detect.
Gemini CLI
From Gemini CLI extensions and the extension reference:
gemini extensions install https://github.com/rankreactorai/rankreactorai-mcp
The root gemini-extension.json registers the remote server with httpUrl. After install, start a new CLI session. If the server needs sign-in, run /mcp auth rankreactor and finish in the browser.
You can also add the same server in ~/.gemini/settings.json without the extension:
{
"mcpServers": {
"rankreactor": {
"httpUrl": "https://www.rankreactor.ai/mcp"
}
}
}
Use httpUrl (Streamable HTTP). Gemini CLI's url field is SSE.
VS Code (GitHub Copilot)
From VS Code MCP servers and the MCP configuration reference: workspace file .vscode/mcp.json, or MCP: Open User Configuration. VS Code uses a top-level servers object (not mcpServers).
{
"servers": {
"rankreactor": {
"type": "http",
"url": "https://www.rankreactor.ai/mcp"
}
}
}
Or run MCP: Add Server from the Command Palette, choose HTTP, and paste the URL. Start the server, open Copilot Chat in Agent mode, and enable the RankReactor tools if asked.
Perplexity and Le Chat
Perplexity (custom remote connectors): add a custom connector with MCP server URL https://www.rankreactor.ai/mcp, authentication OAuth, transport Streamable HTTP.
Mistral Le Chat / Work (MCP connectors): Connectors → Add Connector → Custom MCP Connector, name rankreactor, server URL https://www.rankreactor.ai/mcp. The platform can detect OAuth 2.1 with dynamic client registration.
What this repo contains
| Path | Purpose |
|---|---|
.cursor-plugin/plugin.json | Cursor Marketplace plugin manifest |
mcp.json | Cursor plugin MCP config (discovered by default) |
.mcp.json | cursor.directory + Grok Build MCP config |
.grok-plugin/plugin.json | Grok Build plugin metadata |
gemini-extension.json | Gemini CLI extension manifest (httpUrl) |
GEMINI.md | Gemini CLI extension context |
server.json | Official MCP Registry metadata (not published from this repo) |
assets/logo.svg | Logo fetched from rankreactor.ai/logo.svg |
LICENSE | MIT, copyright RankReactorAI |
Client install docs on the product site: https://www.rankreactor.ai/docs/ai-assistants.
Comments
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.