NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.
Connect Remote server
claude mcp add --transport http ckg-nvidia-ai https://ckg-nvidia-ai.onrender.com/mcp
{
"mcpServers": {
"ckg-nvidia-ai": {
"url": "https://ckg-nvidia-ai.onrender.com/mcp"
}
}
}
{
"servers": {
"ckg-nvidia-ai": {
"type": "http",
"url": "https://ckg-nvidia-ai.onrender.com/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://ckg-nvidia-ai.onrender.com/mcp
Tools 9 found in our last check
list_domainsList all 21 NVIDIA AI domains available in this knowledge graph.
search_conceptsFind concepts in a NVIDIA AI domain by keyword. Args: query: Search term — e.g. 'inference', 'sandbox', 'quantization', 'guardrails'. domain: Domain name from list_domains() — e.g. 'nvidia-nim', 'nvidia-openshell'.
query_ckgTraverse the NVIDIA knowledge graph from a concept — prerequisites and dependents. Args: concept: Concept name (partial match supported) — e.g. 'TensorRT', 'NIM', 'Isaac Lab'. domain: Domain name from list_domains() — e.g. 'nvidia-tensorrt-triton', 'nvidia-isaac'. depth: Travers…
get_prerequisitesReturn the full ordered prerequisite chain for a concept — everything to learn first. Args: concept: Target concept — e.g. 'Speculative Decoding', 'Isaac Lab', 'NeMo Guardrails'. domain: Domain name from list_domains().
ask_nvidiaAsk a natural-language question answered by Qwen grounded on the NVIDIA CKG. Requires Ollama running locally with a Qwen model pulled: ollama pull qwen2.5:14b Override model: NVIDIA_CKG_MODEL env var (default: qwen2.5:14b) Override host: NVIDIA_CKG_OLLAMA env var (default: http:…
list_ecosystemDiscover other CKG packages for adjacent domains — finance, healthcare, legal, and more.
route_queryRoute an NVIDIA AI question to the optimal model and reasoning approach via graph depth. The CKG graph IS the router — hop depth is a deterministic complexity metric. Deeper NVIDIA prerequisite chains (CUDA → TensorRT → TensorRT-LLM → NIM) require more capable models. No heurist…
verify_sourceReturn the source URL and SHA-256 content hash for any NVIDIA AI concept node. Audit chain: edge answer → graph commit → source_content_hash → source_url (fetch hint). Verification: curl -s <source_url> | sha256sum # compare to source_hash Args: concept: Concept label (partial m…
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-ai.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-ai |
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