Server definition

Hash: sha256:209b6048dff7307055b6ba0285f5b75e18bd3dff81063da114f6520d00421994
What it is: What a remote MCP server returned when asked what it offers: 8 tools

The blob, as servednamed by its sha256

{
  "instructions": "NVIDIA NemoClaw CKG — 55 nodes, 74 edges covering sandboxed AI agent infrastructure. Workflow: search_concepts(query) to resolve a concept, then query_ckg(concept) for its typed subgraph or get_prerequisites(concept) for the full upstream chain. Every result traces to a declared edge — no probabilistic inference.",
  "tools": [
    {
      "description": "Answer a question about NVIDIA NemoClaw by traversing the knowledge graph.\n\nCovers: agent runtimes (OpenClaw/Hermes/Deep Agents), OpenShell platform,\ninference routing, network policy, security layers, deployment paths,\nprogressive tool disclosure, managed MCP servers, snapshots, shields,\nFOX Blueprint, Nemotron 3 Ultra ecosystem, and platform support.\n\nArgs:\n    question: Your question about NemoClaw concepts or architecture.\n",
      "inputSchema": {
        "properties": {
          "question": {
            "title": "Question",
            "type": "string"
          }
        },
        "required": [
          "question"
        ],
        "title": "ask_nemoclawArguments",
        "type": "object"
      },
      "name": "ask_nemoclaw",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "ask_nemoclawOutput",
        "type": "object"
      }
    },
    {
      "description": "Return the full upstream prerequisite chain for a NemoClaw concept.\n\nUseful for understanding what a concept depends on end-to-end.\n\nArgs:\n    concept: Exact or partial concept label.\n",
      "inputSchema": {
        "properties": {
          "concept": {
            "title": "Concept",
            "type": "string"
          }
        },
        "required": [
          "concept"
        ],
        "title": "get_prerequisitesArguments",
        "type": "object"
      },
      "name": "get_prerequisites",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "get_prerequisitesOutput",
        "type": "object"
      }
    },
    {
      "description": "List available domains in this CKG server.",
      "inputSchema": {
        "properties": {},
        "title": "list_domainsArguments",
        "type": "object"
      },
      "name": "list_domains",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "list_domainsOutput",
        "type": "object"
      }
    },
    {
      "description": "Return the typed subgraph around a NemoClaw concept.\n\nArgs:\n    concept: Exact or partial concept label (e.g. 'OpenClaw', 'NetworkPolicy', 'L7Proxy').\n    depth: Traversal hops (1–5, default 3).\n",
      "inputSchema": {
        "properties": {
          "concept": {
            "title": "Concept",
            "type": "string"
          },
          "depth": {
            "default": 3,
            "title": "Depth",
            "type": "integer"
          }
        },
        "required": [
          "concept"
        ],
        "title": "query_ckgArguments",
        "type": "object"
      },
      "name": "query_ckg",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "query_ckgOutput",
        "type": "object"
      }
    },
    {
      "description": "Answer a conjunctive query: concepts reachable from EVERY anchor at once (A AND B).\n\nquery_ckg walks outward from one concept. This intersects the reachable sets of two or\nmore, which is the shape of most real questions — \"the component that satisfies A AND\napplies to B\". Neither anchor alone answers it; the answer lives in the overlap.\n\nEvery branch is an exact set of declared edges, so the intersection is exact. A concept\nappears only if a declared path reaches it from each anchor. A relation missing from the\ngraph produces an empty result, never a guess.\n\nArgs:\n    branches: Two or more branches. Either a bare anchor (\"TensorRT-LLM\"), which takes\n        everything within `depth` hops, or an anchor plus an explicit relation path using\n        '>' (\"TensorRT-LLM > REQUIRES > ENABLES\"), where each relation replaces the\n        frontier. '*' matches any relation. Mix both forms freely.\n    depth: Hops for bare-anchor branches, 1-5 (default 2). Ignored for explicit paths.\n    direction: 'out' follows dependencies, 'in' follows them backwards, 'both' (default).\n    mode: 'AND' (default) intersects branches; 'OR' unions them.\n    limit: Max concepts listed, 1-200 (default 40). The true count is always shown.\n\nReturns:\n    Markdown with the query plan and its per-step set sizes, then the answer set with\n    taxonomy tags. Reports which branch was empty when the intersection is empty.\n",
      "inputSchema": {
        "properties": {
          "branches": {
            "items": {
              "type": "string"
            },
            "title": "Branches",
            "type": "array"
          },
          "depth": {
            "default": 2,
            "title": "Depth",
            "type": "integer"
          },
          "direction": {
            "default": "both",
            "title": "Direction",
            "type": "string"
          },
          "limit": {
            "default": 40,
            "title": "Limit",
            "type": "integer"
          },
          "mode": {
            "default": "AND",
            "title": "Mode",
            "type": "string"
          }
        },
        "required": [
          "branches"
        ],
        "title": "query_intersectArguments",
        "type": "object"
      },
      "name": "query_intersect",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "query_intersectOutput",
        "type": "object"
      }
    },
    {
      "description": "Route a NemoClaw question to the optimal model and reasoning approach via graph depth.\n\nThe CKG graph IS the router. NemoClaw's dependency chains (e.g. OpenShell → L7Proxy →\nCorporateCA → mTLS) are deep and typed — hop depth is a deterministic complexity signal.\nNo heuristic: the graph decides which model and reasoning approach to use.\n\nRouting table:\n  hop_depth 1  → haiku  · direct          (single concept lookup)\n  hop_depth 2  → sonnet · generic_cot     (moderate chain)\n  hop_depth 3+ → opus   · sparql_cot      (deep chain, structured reasoning required)\n\nArgs:\n    question: Concept name or natural language question about NemoClaw / OpenShell.\n\nReturns:\n    model_tier + reasoning_approach + why + context subgraph to inject before LLM call.\n",
      "inputSchema": {
        "properties": {
          "question": {
            "title": "Question",
            "type": "string"
          }
        },
        "required": [
          "question"
        ],
        "title": "route_queryArguments",
        "type": "object"
      },
      "name": "route_query",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "route_queryOutput",
        "type": "object"
      }
    },
    {
      "description": "Fuzzy search for NemoClaw concepts by name or keyword.\n\nArgs:\n    query: Partial name or keyword (e.g. 'policy', 'inference', 'agent').\n",
      "inputSchema": {
        "properties": {
          "query": {
            "title": "Query",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "title": "search_conceptsArguments",
        "type": "object"
      },
      "name": "search_concepts",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "search_conceptsOutput",
        "type": "object"
      }
    },
    {
      "description": "Return the authoritative source URL and content hash for a NemoClaw concept node.\n\nEvery node in the CKG was declared from a specific source document. This tool\nreturns the source URL (where the node came from) and the SHA-256 hash of that\ndocument's bytes at extraction time. A hash mismatch on re-fetch means either\nthe source has changed (stale edge — re-extract) or the graph was patched without\nre-fetching (silent edit — investigate).\n\nAudit chain:\n    edge answer → graph commit → source_hash → source_url (fetch hint)\n\nVerification:\n    curl -s <source_url> | sha256sum\n    # compare output to source_hash\n\nArgs:\n    concept: Exact or partial concept label (e.g. 'CorporateCA', 'L7Proxy').\n",
      "inputSchema": {
        "properties": {
          "concept": {
            "title": "Concept",
            "type": "string"
          }
        },
        "required": [
          "concept"
        ],
        "title": "verify_sourceArguments",
        "type": "object"
      },
      "name": "verify_source",
      "outputSchema": {
        "properties": {
          "result": {
            "title": "Result",
            "type": "string"
          }
        },
        "required": [
          "result"
        ],
        "title": "verify_sourceOutput",
        "type": "object"
      }
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:209b6048dff7307055b6ba0285f5b75e18bd3dff81063da114f6520d00421994 | sha256sum