io.github.Yarmoluk/ckg-nvidia-nemoclaw
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Publisher-provided title
NVIDIA NemoClaw CKG
Publisher-provided description
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Summary by lookupd
Queries a knowledge graph of NVIDIA NemoClaw concepts, returning answers, prerequisite chains, and source references for agent runtimes…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ckg-nvidia-nemoclaw https://ckg-nvidia-nemoclaw.onrender.com/mcp
Claude Code, pypi package (stdio)
claude mcp add ckg-nvidia-nemoclaw -- uvx ckg-nvidia-nemoclaw
Codex, remote (streamable-http)
codex mcp add ckg-nvidia-nemoclaw --url https://ckg-nvidia-nemoclaw.onrender.com/mcp
Codex, pypi package (stdio)
codex mcp add ckg-nvidia-nemoclaw -- uvx ckg-nvidia-nemoclaw
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ckg-nvidia-nemoclaw": {
"url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
}
}
}Cursor, pypi package (stdio) → .cursor/mcp.json
{
"mcpServers": {
"ckg-nvidia-nemoclaw": {
"command": "uvx",
"args": [
"ckg-nvidia-nemoclaw"
]
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (8 tools)
Publisher-provided text
ask_nemoclawAnswer a question about NVIDIA NemoClaw by traversing the knowledge graph. Covers: agent runtimes (OpenClaw/Hermes/Deep Agents), OpenShell platform, inferencequery_ckgReturn the typed subgraph around a NemoClaw concept. Args: concept: Exact or partial concept label (e.g. 'OpenClaw', 'NetworkPolicy', 'L7Proxy'). depthget_prerequisitesReturn the full upstream prerequisite chain for a NemoClaw concept. Useful for understanding what a concept depends on end-to-end. Args: concept: Exact orsearch_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 toolroute_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. OpenShelquery_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 set
Details
- Version: 0.10.3
- Transports: streamable-http, stdio
- Uptime (7 days): 100%
- Median latency: 527 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/Yarmoluk/ckg-nvidia-nemoclaw
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