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100
MCP live MCP 2025-11-25 streamable-http

NVIDIA AI CKG

io.github.yarmoluk/ckg-nvidia-ai

NVIDIA AI knowledge graphs — 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.

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Uptime
20.0%
5 direct probes · 30d
Response
927ms
last probe
Tools
9
callable
Resources
1
readable
Prompts
3
available
Primary URL
https://ckg-nvidia-ai.onrender.com/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
9 tools, 1 resources, 3 prompts returned.
pass 3 or more catalogue items 10/10
13 items in total; 3 or more earns these points.
pass Describes itself 10/10
97 characters; more than 30 earns these points.

Tools · 9

list_domains

List all 20 NVIDIA AI domains available in this knowledge graph.

search_concepts

Find 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.…

query_ckg

Traverse the NVIDIA knowledge graph from a concept — prerequisites and dependents. Args: concept: Concept name (partial match supported) — e.g. 'TensorRT', 'NIM', 'Isaac Lab'. dom…

get_prerequisites

Return the full ordered prerequisite chain for a concept — everything to learn first. Args: concept: Target concept — e.g. 'Speculative Decoding', 'Isaac Lab', 'NeMo Guardrails'. …

ask_nvidia

Ask 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…

list_ecosystem

Discover other CKG packages for adjacent domains — finance, healthcare, legal, and more.

route_query

Route 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 prerequisi…

verify_source

Return 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 <…

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 s…

Resources · 1

resource_domains

All 20 NVIDIA AI domains — browsable index

ckg://domains

Prompts · 3

explore_nvidia_stack

Build an interactive graph of the NVIDIA AI inference and robotics stack

map_deployment_chain

Map the full dependency chain for a production NVIDIA AI deployment

find_what_i_need

Tell me what I need to get started with a specific NVIDIA technology

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "nvidia_ai_ckg": {
      "url": "https://ckg-nvidia-ai.onrender.com/mcp",
      "transport": "streamable-http"
    }
  }
}