What is the key difference between Rag Knowledge Graph Mcp and Sentimatix?

Rag Knowledge Graph Mcp belongs to the Knowledge & Memory category with local stdio execution, while Sentimatix belongs to the Knowledge & Memory category with local stdio execution.

How do I install Rag Knowledge Graph Mcp or Sentimatix 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 Rag Knowledge Graph Mcp and Sentimatix free or paid?

Rag Knowledge Graph Mcp operates under a Free / Open Source model (No auth required). Sentimatix operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Rag Knowledge Graph Mcp lists 0 tools with 0 views and 0 GitHub stars. Sentimatix lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Rag Knowledge Graph Mcp and Sentimatix 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 Rag Knowledge Graph Mcp or Sentimatix 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 Rag Knowledge Graph Mcp and Sentimatix free to use, or do they require API keys?

Rag Knowledge Graph Mcp is listed under a Free / Open Source model with No auth required . Sentimatix 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 Rag Knowledge Graph Mcp and Sentimatix at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both rag-knowledge-graph-mcp and sentimatix 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, Rag Knowledge Graph Mcp has a Quality Score of 41 /100 ( Fair ) with 0 views, 0 installs, and 0 GitHub stars. Sentimatix holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Rag Knowledge Graph Mcp vs Sentimatix

In-depth architectural comparison of the Rag Knowledge Graph Mcp and Sentimatix 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

Rag Knowledge Graph Mcp

Knowledge & Memory · Local stdio

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

Sentimatix

Knowledge & Memory · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Rag Knowledge Graph Mcp if you need specialized Knowledge & Memory tools running via a local process. Choose Sentimatix if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Rag Knowledge Graph Mcp 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 Rag Knowledge Graph Mcp Details

Choose Sentimatix 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 Sentimatix Details

Feature & Specification Comparison

Specification	R Rag Knowledge Graph Mcp Knowledge & Memory	S Sentimatix Knowledge & Memory
Summary	Rag Knowledge Graph automation via MCP. Includes index document, rag query, add graph edge. ...	Real-time NSE/BSE stock sentiment, news NLP, technical analysis & RAG search via MCP.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Rag Knowledge Graph Mcp Tools (0)

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

Sentimatix 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).

Rag Knowledge Graph Mcp Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "rag-knowledge-graph-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest"
      ]
    }
  }
}

Sentimatix Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "sentimatix": {
      "command": "npx",
      "args": [
        "-y",
        "sentimatix"
      ]
    }
  }
}

Frequently Asked Questions

Rag Knowledge Graph Mcp is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Sentimatix belongs to Knowledge & Memory using local stdio subprocess. Select Rag Knowledge Graph Mcp when you need capabilities focused on knowledge & memory and Sentimatix when you require tools for knowledge & memory.

More alternatives to Rag Knowledge Graph Mcp More alternatives to Sentimatix Knowledge & Memory category hub