quantum

QuantumOracle — 18 post-quantum crypto tools: Kyber, Dilithium, hybrid schemes, migration.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
86%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • LOWTool 'quantum_rate' description lacks action verbin quantum_rate
  • LOWTool 'quantum_history' description lacks action verbin quantum_history

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,970Tokens (Tool-Definitionen)
~744 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.54% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "quantum": {
      "url": "https://tooloracle.io/quantum/mcp/"
    }
  }
}

Remote-Endpunkte

https://tooloracle.io/quantum/mcp/streamable-http

Was es kann

Tool-Inventar

Tools (20)

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🟢quantum_join(agent_card_url, did, mcp_endpoint, payout_address)

Join OracleNet in one call. Provide your agent card URL and get instant trust score, mesh visibility, and access to 1,065+ tools.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_card_url": {
      "type": "string",
      "description": "URL to your A2A Agent Card. EITHER this OR mcp_endpoint is required."
    },
    "did": {
      "type": "string",
      "description": "Your W3C DID (optional, auto-detected)"
    },
    "mcp_endpoint": {
      "type": "string",
      "description": "Your MCP server endpoint. EITHER this OR agent_card_url is required."
    },
    "payout_address": {
      "type": "string",
      "description": "Wallet for escrow payments (optional)"
    }
  },
  "additionalProperties": false
}
🟢quantum_trust_passport(node_id)

Get a signed, portable Trust Passport (W3C Verifiable Credential) proving your trust level in OracleNet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "node_id": {
      "type": "string",
      "description": "Your OracleNet node ID or DID"
    }
  },
  "required": [
    "node_id"
  ],
  "additionalProperties": false
}
⚪quantum_rate(rated_did, rating, rater_did, feedback)

Rate an agent after interaction. 1-5 stars. Adjusts neural weights and reputation.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "rated_did": {
      "type": "string"
    },
    "rating": {
      "type": "number"
    },
    "rater_did": {
      "type": "string"
    },
    "feedback": {
      "type": "string"
    }
  },
  "required": [
    "rated_did",
    "rating"
  ],
  "additionalProperties": false
}
🟢quantum_reputation(agent_did, period_days)

Query any agent reputation: score 0-100, grade A+ to F, trust level.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_did": {
      "type": "string"
    },
    "period_days": {
      "type": "number"
    }
  },
  "required": [
    "agent_did"
  ],
  "additionalProperties": false
}
🟢quantum_refer(need, current_oracle)

Get referral to best oracle for your need. OracleNet points you to who CAN help.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string"
    },
    "current_oracle": {
      "type": "string"
    }
  },
  "required": [
    "need"
  ],
  "additionalProperties": false
}
⚪quantum_history(agent_did, limit)

Your past OracleNet interactions. What worked, re-engagement suggestions.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_did": {
      "type": "string"
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "agent_did"
  ],
  "additionalProperties": false
}
⚪quantum_offer(tool)

OracleNet Offer Card: catalog with pricing, SLAs, payment methods.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "tool": {
      "type": "string",
      "description": "Optional filter"
    }
  },
  "additionalProperties": false
}
🟢quantum_deal(action, tool, did)

Deal Handshake: propose a deal, get terms, rate. Agent-to-agent commerce.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "description": "propose or rate",
      "enum": [
        "propose",
        "rate"
      ]
    },
    "tool": {
      "type": "string",
      "description": "Tool name"
    },
    "did": {
      "type": "string",
      "description": "Your DID"
    }
  },
  "required": [
    "action",
    "tool"
  ],
  "additionalProperties": false
}
🟢quantum_intent(need, llm)

OracleNet Intent Parser v2 (LLM-powered): describe what you need in natural language. Uses Gemma 4 to understand context, urgency, and multi-step workflows. Returns the best oracle, tools, workflow steps, and exact API call. The front door of OracleNet.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "description": "Describe what you need in natural language"
    },
    "llm": {
      "type": "boolean",
      "description": "Use LLM for semantic understanding (default: true; set false for fast keyword routing in <50ms)"
    }
  },
  "required": [
    "need"
  ],
  "additionalProperties": false
}
🟢quantum_route(task, constraints)

Find the best oracle for a task. Considers trust, capabilities, availability. Returns ranked candidates.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "description": "What you need (e.g. sanctions screening, DORA audit)"
    },
    "constraints": {
      "type": "object",
      "description": "Optional: {min_trust_grade, max_cost_usdc}"
    }
  },
  "required": [
    "task"
  ],
  "additionalProperties": false
}
🟢quantum_preflight(agent_did, target_task)

Pre-flight check before agent-to-agent interaction. Verifies identity, trust, recommends escrow or direct.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_did": {
      "type": "string",
      "description": "DID or node_id of agent to check"
    },
    "target_task": {
      "type": "string",
      "description": "Planned interaction"
    }
  },
  "additionalProperties": false
}
⚪quantum_settle(task_id, result_hash, node_id, revenue_usdc)

Record a completed deal settlement. Updates trust score and revenue tracking.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "task_id": {
      "type": "string",
      "description": "Task/deal ID"
    },
    "result_hash": {
      "type": "string",
      "description": "SHA-256 hash of deliverable"
    },
    "node_id": {
      "type": "string",
      "description": "Node that delivered"
    },
    "revenue_usdc": {
      "type": "number",
      "description": "Revenue in USDC"
    }
  },
  "additionalProperties": false
}
⚪quantum_status

Live status of the entire OracleNet: nodes, attestations, routes, revenue, and how to join.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢quantum_nodes(status, limit)

List all registered OracleNet nodes with trust scores, grades, and activity.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "description": "Filter: active, pending, all",
      "default": "active"
    },
    "limit": {
      "type": "integer",
      "description": "Max results",
      "default": 50
    }
  },
  "additionalProperties": false
}
🟢neural_status

Show OracleNet mesh intelligence — learned weights, rewards, synapse history, top-performing oracles. The mesh gets smarter with every interaction.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢quantum_scan(domain)

Passively inspects public machine-readable discovery surfaces for a domain. Returns declared and observed evidence, coverage, assurance and a bounded NOMOS read-only admission decision. It does not execute third-party tools, make payments, certify identity or issue compliance verdicts.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Bare public domain, e.g. example.com. URLs, IP literals, ports, credentials and local names are rejected."
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false
}
🟢quantum_subscribe(action, webhook_url, did, events, webhook_id)

Subscribe to OracleNet events via webhook. Get notified when servers change, new capabilities appear, deals become available, or trust scores shift. Push-based — we come to you.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "description": "register, unregister, or list",
      "enum": [
        "register",
        "unregister",
        "list"
      ]
    },
    "webhook_url": {
      "type": "string",
      "description": "URL where we POST events. Required when action=register."
    },
    "did": {
      "type": "string",
      "description": "Your DID (optional)"
    },
    "events": {
      "type": "string",
      "description": "Comma-separated event types or 'all'"
    },
    "webhook_id": {
      "type": "string",
      "description": "For unregister: webhook ID"
    }
  },
  "additionalProperties": false
}
⚪quantum_feed(limit, event_type)

OracleNet event feed — latest signals, changes, alerts. Poll this for updates if you cannot use webhooks.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max events (default 20)"
    },
    "event_type": {
      "type": "string",
      "description": "Filter: heartbeat, new_capability, mesh_event, etc."
    }
  },
  "additionalProperties": false
}
🟢quantum_ask(need, caller_did, execute, arguments)

The front door of OracleNet. Describe what you need in natural language — OracleNet understands, finds the right oracle, executes, and delivers the result. One call. Full loop.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "need": {
      "type": "string",
      "description": "What you need in natural language (NOT \"question\" — use \"need\")"
    },
    "caller_did": {
      "type": "string",
      "description": "Your DID (optional)"
    },
    "execute": {
      "type": "boolean",
      "description": "Auto-execute (default: true). Set false to preview."
    },
    "arguments": {
      "type": "object",
      "description": "Pre-set tool arguments (optional, auto-inferred from query)"
    }
  },
  "required": [
    "need"
  ],
  "additionalProperties": false
}
🟢quantum_execute(tool, oracle, arguments, caller_did)

Execute a tool on an OracleNet oracle. The muscle of the mesh. Routes to the right oracle, calls it, delivers the result, logs the neural synapse, and updates routing weights. Use quantum_intent first to find the right tool, then quantum_execute to run it.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "tool": {
      "type": "string",
      "description": "Tool name to execute (e.g. compliance_preflight, fed_rate)"
    },
    "oracle": {
      "type": "string",
      "description": "Oracle name/key hint (optional, auto-detected from tool)"
    },
    "arguments": {
      "type": "object",
      "description": "Arguments to pass to the tool"
    },
    "caller_did": {
      "type": "string",
      "description": "Your DID for tracking (optional)"
    }
  },
  "required": [
    "tool",
    "arguments"
  ],
  "additionalProperties": false
}

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