quantum
QuantumOracle — 18 post-quantum crypto tools: Kyber, Dilithium, hybrid schemes, migration.
Should I use this
Quality & Safety
Findings (2)
- LOWTool 'quantum_rate' description lacks action verbin quantum_rate
- LOWTool 'quantum_history' description lacks action verbin quantum_history
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"quantum": {
"url": "https://tooloracle.io/quantum/mcp/"
}
}
}Remote endpoints
https://tooloracle.io/quantum/mcp/streamable-httpWhat it can do
Tool inventory
Tools (20)
🟢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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢quantum_nodes(status, limit)
List all registered OracleNet nodes with trust scores, grades, and activity.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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
}Community
Evidence