What is the key difference between RAGScore and Watsonx?

RAGScore belongs to the Knowledge & Memory category with local stdio execution, while Watsonx belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install RAGScore or Watsonx 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 RAGScore and Watsonx free or paid?

RAGScore operates under a Free / Open Source model (No auth required). Watsonx operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

RAGScore lists 0 tools with 0 views and 15 GitHub stars. Watsonx lists 4 tools with 0 views and 0 GitHub stars.

Can I use both RAGScore and Watsonx 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 RAGScore or Watsonx 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 RAGScore and Watsonx free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both ragscore and watsonx 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, RAGScore has a Quality Score of 41 /100 ( Fair ) with 0 views, 0 installs, and 15 GitHub stars. Watsonx holds a Quality Score of 45 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

RAGScore vs Watsonx

In-depth architectural comparison of the RAGScore and Watsonx 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

RAGScore

Knowledge & Memory · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

Watsonx

Knowledge & Memory · Remote HTTP/SSE

Quality: 45/100 (Fair) | Auth: No auth required

Verdict Summary: Choose RAGScore if you need specialized Knowledge & Memory tools running via a local process. Choose Watsonx if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose RAGScore when:

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

Explore RAGScore Details

Choose Watsonx when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: watsonx_generate, watsonx_chat, watsonx_embeddings.

Explore Watsonx Details

Feature & Specification Comparison

Specification	RAGScore Knowledge & Memory	W Watsonx Knowledge & Memory
Summary	Generate QA datasets & evaluate RAG systems. Privacy-first, any LLM, local or cloud.	IBM watsonx.ai MCP server for Claude integration
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

RAGScore Tools (0)

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

Watsonx Tools (4)

watsonx_generate

Generate text using watsonx.ai models

watsonx_chat

Chat with watsonx.ai models

watsonx_embeddings

Generate text embeddings

watsonx_list_models

List available models

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).

RAGScore Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "ragscore": {
      "command": "uvx",
      "args": [
        "ragscore"
      ]
    }
  }
}

Watsonx Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "watsonx": {
      "url": "https://us-south.ml.cloud.ibm.com"
    }
  }
}

Frequently Asked Questions

RAGScore is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Watsonx belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select RAGScore when you need capabilities focused on knowledge & memory and Watsonx when you require tools for knowledge & memory.

More alternatives to RAGScore More alternatives to Watsonx Knowledge & Memory category hub