predictoracle
PredictOracle - 12 forecasting tools: time-series, scenario analysis, risk projections.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (5)
- LOWTool 'predict_entity' description lacks action verbin predict_entity
- LOWTool 'predict_article' description lacks action verbin predict_article
- LOWTool 'predict_score' description lacks action verbin predict_score
- LOWTool 'evidence_decay' description lacks action verbin evidence_decay
- LOWTool 'health_check' description lacks action verbin health_check
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"predictoracle": {
"url": "https://tooloracle.io/predict/mcp/"
}
}
}Remote-Endpunkte
https://tooloracle.io/predict/mcp/streamable-httpWas es kann
Tool-Inventar
Tools (12)
⚪predict_entity(entity_id, horizon_days)
Full predictive risk profile: score trajectory, degradation timeline, risk level.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"horizon_days": {
"type": "integer",
"description": "Prediction horizon (default: 30)"
}
},
"additionalProperties": false
}⚪predict_article(entity_id, article, horizon_days)
Predict status of a specific DORA article in N days.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"article": {
"type": "string",
"description": "e.g. Art. 28"
},
"horizon_days": {
"type": "integer"
}
},
"additionalProperties": false
}⚪predict_score(entity_id)
Score trajectory: current, 7d, 14d, 30d, 60d, 90d with trend.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪risk_forecast(entity_id)
Which articles will degrade first? Sorted by urgency.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪evidence_decay(entity_id)
Evidence expiry timeline: what expires when, status per evidence.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪deadline_risk(entity_id)
Upcoming deadlines with compliance probability %.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string",
"description": "Optional for entity-specific probability"
}
},
"additionalProperties": false
}⚪remediation_velocity(entity_id)
How fast are findings being resolved? Average close time, velocity rating.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪trend_analysis(entity_id)
Historical trend: audit events, score history.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪early_warning(entity_id)
Critical warnings: evidence expiry, score prediction, DORA deadline.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪scenario_forecast(entity_id, scenario, days)
What-if: no_testing, cloud_outage_30d, no_training, policy_expired, data_breach.
Eingabe-Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"scenario": {
"type": "string",
"description": "no_testing|cloud_outage_30d|no_training|policy_expired|data_breach"
},
"days": {
"type": "integer"
}
},
"additionalProperties": false
}🟢health_check
Server status.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪ping
Connectivity test.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Community
Nachweis