NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Connect Remote server
claude mcp add --transport http ckg-nvidia-nemoclaw https://ckg-nvidia-nemoclaw.onrender.com/mcp
{
"mcpServers": {
"ckg-nvidia-nemoclaw": {
"url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
}
}
}
{
"servers": {
"ckg-nvidia-nemoclaw": {
"type": "http",
"url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://ckg-nvidia-nemoclaw.onrender.com/mcp
Tools 8 found in our last check
ask_nemoclawAnswer 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,…
query_ckgReturn 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).
get_prerequisitesReturn 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.
search_conceptsFuzzy search for NemoClaw concepts by name or keyword. Args: query: Partial name or keyword (e.g. 'policy', 'inference', 'agent').
list_domainsList available domains in this CKG server.
verify_sourceReturn 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 h…
route_queryRoute 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…
query_intersectAnswer a conjunctive query: concepts reachable from EVERY anchor at once (A AND B). query_ckg walks outward from one concept. This intersects the reachable sets of two or more, which is the shape of most real questions — "the component that satisfies A AND applies to B". Neither…
Details
| Endpoint | https://ckg-nvidia-nemoclaw.onrender.com/mcp (Streamable HTTP) |
| Package | [email protected] (PYPI, stdio) |
| First published | 29 Jul 2026 |
| Last updated | 29 Jul 2026 |
| Registry name | io.github.Yarmoluk/ckg-nvidia-nemoclaw |
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