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NVIDIA NemoClaw CKG

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NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.

v0.10.3 · active · repository · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality76good
Trust91of 100
Uptime, 30 days100%
Latency p50283 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "ckg-nvidia-nemoclaw": {
      "type": "http",
      "url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
    }
  }
}
claude mcp add --transport http ckg-nvidia-nemoclaw https://ckg-nvidia-nemoclaw.onrender.com/mcp
[mcp_servers.ckg-nvidia-nemoclaw]
url = "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ckg-nvidia-nemoclaw": {
      "type": "remote",
      "url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "ckg-nvidia-nemoclaw": {
      "type": "http",
      "url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ckg-nvidia-nemoclaw&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY2tnLW52aWRpYS1uZW1vY2xhdy5vbnJlbmRlci5jb20vbWNwIn0%3D"
}
{
  "servers": {
    "ckg-nvidia-nemoclaw": {
      "type": "http",
      "url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
    }
  }
}
{
  "mcpServers": {
    "ckg-nvidia-nemoclaw": {
      "httpUrl": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
    }
  }
}
extensions:
  "ckg-nvidia-nemoclaw":
    enabled: true
    name: "ckg-nvidia-nemoclaw"
    type: streamable_http
    uri: "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
    timeout: 300

Quality 76 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene64 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: verify_source (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query_ckg (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_concepts (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 1,325 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
  • warn
    stability.changes16 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependencies100 · weight 15
  • pass
    deps.known_vulnsno known advisory in 37 resolved packages
  • pass
    deps.mcp_sdk_versionmcp 1.30.0, no known advisory
  • pass
    deps.resolvable[email protected] resolved: 37 packages

8 tools, about 1,325 tokens to load them all · tool set fc9ab32ae33a · tools last changed 2026-10-07 · checked 2026-10-19 10:52 UTC

Tool changes

  • query_intersectadded

    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 answers it; the answer lives in the overlap. Every branch is an exact set of declared edges, so the intersection is exact. A concept appears only if a declared path reaches it from each anchor. A relation missing from the graph produces an empty result, never a guess. Args: branches: Two or more branches. Either a bare anchor ("TensorRT-LLM"), which takes everything within `depth` hops, or an anchor plus an explicit relation path using '>' ("TensorRT-LLM > REQUIRES > ENABLES"), where each relation replaces the frontier. '*' matches any relation. Mix both forms freely. depth: Hops for bare-anchor branches, 1-5 (default 2). Ignored for explicit paths. direction: 'out' follows dependencies, 'in' follows them backwards, 'both' (default). mode: 'AND' (default) intersects branches; 'OR' unions them. limit: Max concepts listed, 1-200 (default 40). The true count is always shown. Returns: Markdown with the query plan and its per-step set sizes, then the answer set with taxonomy tags. Reports which branch was empty when the intersection is empty.

  • route_queryadded

    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 which model and reasoning approach to use. Routing table: hop_depth 1 → haiku · direct (single concept lookup) hop_depth 2 → sonnet · generic_cot (moderate chain) hop_depth 3+ → opus · sparql_cot (deep chain, structured reasoning required) Args: question: Concept name or natural language question about NemoClaw / OpenShell. Returns: model_tier + reasoning_approach + why + context subgraph to inject before LLM call.

  • verify_sourceadded

    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 re-fetch means either the source has changed (stale edge — re-extract) or the graph was patched without re-fetching (silent edit — investigate). Audit chain: edge answer → graph commit → source_hash → source_url (fetch hint) Verification: curl -s <source_url> | sha256sum # compare output to source_hash Args: concept: Exact or partial concept label (e.g. 'CorporateCA', 'L7Proxy').

  • list_domainsadded

    List available domains in this CKG server.

  • search_conceptsadded

    Fuzzy search for NemoClaw concepts by name or keyword. Args: query: Partial name or keyword (e.g. 'policy', 'inference', 'agent').

  • get_prerequisitesadded

    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.

  • query_ckgadded

    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).

  • ask_nemoclawadded

    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 Blueprint, Nemotron 3 Ultra ecosystem, and platform support. Args: question: Your question about NemoClaw concepts or architecture.

  • list_domainsremoved

    List available domains in this CKG server.

  • query_intersectremoved

    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 answers it; the answer lives in the overlap. Every branch is an exact set of declared edges, so the intersection is exact. A concept appears only if a declared path reaches it from each anchor. A relation missing from the graph produces an empty result, never a guess. Args: branches: Two or more branches. Either a bare anchor ("TensorRT-LLM"), which takes everything within `depth` hops, or an anchor plus an explicit relation path using '>' ("TensorRT-LLM > REQUIRES > ENABLES"), where each relation replaces the frontier. '*' matches any relation. Mix both forms freely. depth: Hops for bare-anchor branches, 1-5 (default 2). Ignored for explicit paths. direction: 'out' follows dependencies, 'in' follows them backwards, 'both' (default). mode: 'AND' (default) intersects branches; 'OR' unions them. limit: Max concepts listed, 1-200 (default 40). The true count is always shown. Returns: Markdown with the query plan and its per-step set sizes, then the answer set with taxonomy tags. Reports which branch was empty when the intersection is empty.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80
liveness100
freshness85
hygiene100

+repository +namespace-matches-repo +reachable +uptime-100% ~updated-82d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPI36 dependencies, resolved · MCP SDK mcp 1.30.0 · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://ckg-nvidia-nemoclaw.onrender.com/mcp streamable-httpnoneyes100%283 ms2025-11-252026-10-19
packageregistryversionruntimesecrets
ckg-nvidia-nemoclawpypi0.10.3uvx

Tools (8)

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, shields, FOX Blueprint, Nemotron 3 Ultra ecosystem, and platform support. Args: question: Your question about NemoClaw concepts or architecture.
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.
list_domainsList available domains in this CKG server.
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).
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 anchor alone answers it; the answer lives in the overlap. Every branch is an exact set of declared edges, so the intersection is exact. A concept appears only if a declared path reaches it from each anchor. A relation missing from the graph produces an empty result, never a guess. Args: branches: Two or more branches. Either a bare anchor ("TensorRT-LLM"), which takes everything within `depth` hops, or an anchor plus an explicit relation path using '>' ("TensorRT-LLM > REQUIRES > ENABLES"), where each relation replaces the frontier. '*' matches any relation. Mix both forms freely. depth: Hops for bare-anchor branches, 1-5 (default 2). Ignored for explicit paths. direction: 'out' follows dependencies, 'in' follows them backwards, 'both' (default). mode: 'AND' (default) intersects branches; 'OR' unions them. limit: Max concepts listed, 1-200 (default 40). The true count is always shown. Returns: Markdown with the query plan and its per-step set sizes, then the answer set with taxonomy tags. Reports which branch was empty when the intersection is empty.
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 graph decides which model and reasoning approach to use. Routing table: hop_depth 1 → haiku · direct (single concept lookup) hop_depth 2 → sonnet · generic_cot (moderate chain) hop_depth 3+ → opus · sparql_cot (deep chain, structured reasoning required) Args: question: Concept name or natural language question about NemoClaw / OpenShell. Returns: model_tier + reasoning_approach + why + context subgraph to inject before LLM call.
search_conceptsFuzzy search for NemoClaw concepts by name or keyword. Args: query: Partial name or keyword (e.g. 'policy', 'inference', 'agent').
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 hash mismatch on re-fetch means either the source has changed (stale edge — re-extract) or the graph was patched without re-fetching (silent edit — investigate). Audit chain: edge answer → graph commit → source_hash → source_url (fetch hint) Verification: curl -s <source_url> | sha256sum # compare output to source_hash Args: concept: Exact or partial concept label (e.g. 'CorporateCA', 'L7Proxy').

Schemas: list_tools.

Similar MCP servers

More from io.github.Yarmoluk

Official server.json
{
  "name": "io.github.Yarmoluk/ckg-nvidia-nemoclaw",
  "title": "NVIDIA NemoClaw CKG",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.10.3",
  "packages": [
    {
      "version": "0.10.3",
      "transport": {
        "type": "stdio"
      },
      "identifier": "ckg-nvidia-nemoclaw",
      "runtimeHint": "uvx",
      "registryType": "pypi"
    }
  ],
  "repository": {
    "url": "https://github.com/Yarmoluk/ckg-nvidia-nemoclaw",
    "source": "github"
  },
  "description": "NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native."
}