bots.st/nvidia-nemoclaw-ckg
NVIDIA NemoClaw CKG
Query NVIDIA NemoClaw knowledge graph
2266 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 8
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://ckg-nvidia-nemoclaw.onrender.com/mcp - PyPI
uvx ckg-nvidia-nemoclawReleased 23 Oct 2026, version 0.19.2
What it can do
| Tool | What it says it does |
|---|---|
ask_nemoclaw | 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… |
get_prerequisites | 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 | List available domains in this CKG server. |
query_ckg | 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). |
query_intersect | Answer 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 anchor alone… |
route_query | 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… |
search_concepts | Fuzzy search for NemoClaw concepts by name or keyword. Args: query: Partial name or keyword (e.g. 'policy', 'inference', 'agent'). |
verify_source | 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… |
In its maker's words
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
- Source
- github.com/Yarmoluk/ckg-nvidia-nemoclaw
- Publisher
- Yarmoluk (5 listings in the registry)
- Listed from
- the official MCP Registry as
io.github.Yarmoluk/ckg-nvidia-nemoclaw - Version
- 0.10.3, updated 29 Jul 2026
- Kinds of work
- AI models and agent tools, Search and research, Documents and files
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2266 ms | |
| Answered | 1546 ms | |
| Answered | 881 ms |
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