What is the key difference between Gctrl and NVIDIA NemoClaw CKG?

Gctrl belongs to the Knowledge & Memory category with local stdio execution, while NVIDIA NemoClaw CKG belongs to the Knowledge & Memory category with local stdio execution.

How do I install Gctrl or NVIDIA NemoClaw CKG 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 Gctrl and NVIDIA NemoClaw CKG free or paid?

Gctrl operates under a Free / Open Source model (No auth required). NVIDIA NemoClaw CKG operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Gctrl lists 0 tools with 0 views and 4 GitHub stars. NVIDIA NemoClaw CKG lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Gctrl and NVIDIA NemoClaw CKG 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 Gctrl or NVIDIA NemoClaw CKG 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 Gctrl and NVIDIA NemoClaw CKG free to use, or do they require API keys?

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

Yes! MCP clients support multi-server orchestration. You can include both gctrl and nvidia-nemoclaw-ckg 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, Gctrl has a Quality Score of 40 /100 ( Fair ) with 0 views, 0 installs, and 4 GitHub stars. NVIDIA NemoClaw CKG holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Gctrl vs NVIDIA NemoClaw CKG

In-depth architectural comparison of the Gctrl and NVIDIA NemoClaw CKG 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

Gctrl

Knowledge & Memory · Local stdio

Quality: 40/100 (Fair) | Auth: No auth required

NVIDIA NemoClaw CKG

Knowledge & Memory · Local stdio

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

Verdict Summary: Choose Gctrl if you need specialized Knowledge & Memory tools running via a local process. Choose NVIDIA NemoClaw CKG 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 Gctrl 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 Gctrl Details

Choose NVIDIA NemoClaw CKG 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 NVIDIA NemoClaw CKG Details

Feature & Specification Comparison

Specification	G Gctrl Knowledge & Memory	N NVIDIA NemoClaw CKG Knowledge & Memory
Summary	Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.	NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Category & Scope	Knowledge & Memory	Knowledge & Memory
Quality signal

Tools & Capabilities Breakdown

Gctrl Tools (0)

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

NVIDIA NemoClaw CKG 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).

Gctrl Configuration

mcpServers (Claude Desktop / Cursor)

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

NVIDIA NemoClaw CKG Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nvidia-nemoclaw-ckg": {
      "command": "npx",
      "args": [
        "-y",
        "nvidia-nemoclaw-ckg"
      ]
    }
  }
}

Frequently Asked Questions

Gctrl is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, NVIDIA NemoClaw CKG belongs to Knowledge & Memory using local stdio subprocess. Select Gctrl when you need capabilities focused on knowledge & memory and NVIDIA NemoClaw CKG when you require tools for knowledge & memory.

More alternatives to Gctrl More alternatives to NVIDIA NemoClaw CKG Knowledge & Memory category hub