MCP server

NVIDIA NemoClaw CKG

io.github.Yarmoluk/ckg-nvidia-nemoclaw

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 1,634 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ckg-nvidia-nemoclaw https://ckg-nvidia-nemoclaw.onrender.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ckg-nvidia-nemoclaw]
url = "https://ckg-nvidia-nemoclaw.onrender.com/mcp"

Gemini CLI

{"mcpServers":{"ckg-nvidia-nemoclaw":{"httpUrl":"https://ckg-nvidia-nemoclaw.onrender.com/mcp"}}}

Cursor

{"mcpServers":{"ckg-nvidia-nemoclaw":{"url":"https://ckg-nvidia-nemoclaw.onrender.com/mcp"}}}

VS Code

{"servers":{"ckg-nvidia-nemoclaw":{"type":"http","url":"https://ckg-nvidia-nemoclaw.onrender.com/mcp"}}}

Antigravity

agy mcp add ckg-nvidia-nemoclaw https://ckg-nvidia-nemoclaw.onrender.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ckg-nvidia-nemoclaw","server_url":"https://ckg-nvidia-nemoclaw.onrender.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ckg-nvidia-nemoclaw","server_url":"https://ckg-nvidia-nemoclaw.onrender.com/mcp"}

Tools

• ask_nemoclaw ~181 tokens
  Answer a question about NVIDIA NemoClaw by traversing the knowledge graph. Covers: agent runtimes (OpenClaw/Hermes/Deep Agents), OpenShell platform, inference routing, network policy, security layers, deployment paths, progressive tool disclosure, managed MCP servers, snapshots, shields, FOX Bluepr
• get_prerequisites ~112 tokens
  Return the full upstream prerequisite chain for a NemoClaw concept. Useful for understanding what a concept depends on end-to-end. Args: concept: Exact or partial concept label.
• list_domains ~47 tokens
  List available domains in this CKG server.
• query_ckg ~126 tokens
  Return the typed subgraph around a NemoClaw concept. Args: concept: Exact or partial concept label (e.g. 'OpenClaw', 'NetworkPolicy', 'L7Proxy'). depth: Traversal hops (1–5, default 3).
• route_query ~275 tokens
  Route a NemoClaw question to the optimal model and reasoning approach via graph depth. The CKG graph IS the router. NemoClaw's dependency chains (e.g. OpenShell → L7Proxy → CorporateCA → mTLS) are deep and typed — hop depth is a deterministic complexity signal. No heuristic: the graph decides which
• search_concepts ~94 tokens
  Fuzzy search for NemoClaw concepts by name or keyword. Args: query: Partial name or keyword (e.g. 'policy', 'inference', 'agent').
• verify_source ~259 tokens
  Return the authoritative source URL and content hash for a NemoClaw concept node. Every node in the CKG was declared from a specific source document. This tool returns the source URL (where the node came from) and the SHA-256 hash of that document's bytes at extraction time. A hash mismatch on re-f

Browse

• GitHub tools
• OpenClaw tools
• GitHub and code hosting
• Memory for agents
• Searching your documents (RAG)
• Calling other AI models

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