What is the key difference between Ragstack and SEO GEO Intelligence?

Ragstack belongs to the Cloud Platforms category with local stdio execution, while SEO GEO Intelligence belongs to the Cloud Platforms category with cloud HTTP/SSE execution.

How do I install Ragstack or SEO GEO Intelligence in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Ragstack and SEO GEO Intelligence free or paid?

Ragstack operates under a Free / Open Source model (No auth required). SEO GEO Intelligence operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Ragstack lists 0 tools with 0 views and 25 GitHub stars. SEO GEO Intelligence lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Ragstack and SEO GEO Intelligence together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Ragstack or SEO GEO Intelligence in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Ragstack and SEO GEO Intelligence free to use, or do they require API keys?

Ragstack is listed under a Free / Open Source model with No auth required . SEO GEO Intelligence operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Ragstack and SEO GEO Intelligence at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both ragstack and seo-geo-intelligence as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Ragstack has a Quality Score of 43 /100 ( Fair ) with 0 views, 0 installs, and 25 GitHub stars. SEO GEO Intelligence holds a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Ragstack vs SEO GEO Intelligence

In-depth architectural comparison of the Ragstack and SEO GEO Intelligence MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Ragstack

Cloud Platforms · Local stdio

Quality: 43/100 (Fair) | Auth: No auth required

SEO GEO Intelligence

Cloud Platforms · Remote HTTP/SSE

Quality: 42/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Ragstack if you need specialized Cloud Platforms tools running via a local process. Choose SEO GEO Intelligence if your workspace requires Cloud Platforms integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Ragstack when:

You need dedicated capabilities in the Cloud Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Ragstack Details

Choose SEO GEO Intelligence when:

You need dedicated capabilities in the Cloud Platforms domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore SEO GEO Intelligence Details

Feature & Specification Comparison

Specification	R Ragstack Cloud Platforms	S SEO GEO Intelligence Cloud Platforms
Summary	Search, chat, upload, and scrape a serverless RAGStack knowledge base on AWS.	SEO and AI-answer visibility intelligence for search, content gaps, and GEO actions.
Category & Scope	Cloud Platforms	Cloud Platforms
Quality signal

Tools & Capabilities Breakdown

Ragstack Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

SEO GEO Intelligence Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Ragstack Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ragstack": {
      "command": "uvx",
      "args": [
        "for"
      ]
    }
  }
}

SEO GEO Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "seo-geo-intelligence": {
      "url": "https://mcp-payment-site.vercel.app/seo-geo-intelligence"
    }
  }
}

Frequently Asked Questions

Ragstack is categorized under Cloud Platforms and uses a local stdio subprocess. In contrast, SEO GEO Intelligence belongs to Cloud Platforms using remote streaming HTTP/SSE transport. Select Ragstack when you need capabilities focused on cloud platforms and SEO GEO Intelligence when you require tools for cloud platforms.

More alternatives to Ragstack More alternatives to SEO GEO Intelligence Cloud Platforms category hub