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

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

How do I install SEO GEO Intelligence or Ragstack 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 SEO GEO Intelligence and Ragstack free or paid?

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

Which MCP server has more tools and community activity?

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

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

SEO GEO Intelligence is listed under a Free / Open Source model with No auth required . Ragstack 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 SEO GEO Intelligence and Ragstack at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both seo-geo-intelligence and ragstack 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, SEO GEO Intelligence has a Quality Score of 42 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Ragstack holds a Quality Score of 43 /100 ( Fair ) with 0 views, 0 installs, and 25 GitHub stars.

Side-by-Side Model Context Protocol Comparison

SEO GEO Intelligence vs Ragstack

In-depth architectural comparison of the SEO GEO Intelligence and Ragstack 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

SEO GEO Intelligence

Cloud Platforms · Remote HTTP/SSE

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

Ragstack

Cloud Platforms · Local stdio

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

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

Which MCP Server Should You Choose?

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

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

Feature & Specification Comparison

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

Tools & Capabilities Breakdown

SEO GEO Intelligence Tools (0)

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

Ragstack 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).

SEO GEO Intelligence Configuration

mcpServers (Claude Desktop / Cursor)

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

Ragstack Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

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